Publications

Explore the research outputs from our lab, including journal articles, conference papers, and other scholarly works. For individual publication lists, see Dr. Joshua Mangelson's Google Scholar and Dr. Brady Moon's Google Scholar.

2026

Robustness to Incorrect Data Association and Outliers

Heng Yang, Josh Mangelson, Yun Chang, Jingnan Shi, Luca Carlone
SLAM Handbook. From Localization and Mapping to Spatial Intelligence
Raw BibTeX
@incollection{sh-ch3-outlier,
  title        = {Robustness to Incorrect Data Association and Outliers},
  author       = {Heng Yang and Josh Mangelson and Yun Chang and Jingnan Shi and Luca Carlone},
  booktitle    = {SLAM Handbook. From Localization and Mapping to Spatial Intelligence},
  publisher    = {Cambridge University Press},
  editor       = {Luca Carlone and Ayoung Kim and Timothy Barfoot and Daniel Cremers and Frank Dellaert},
  year         = {2026},
  url={https://github.com/SLAM-Handbook-contributors/slam-handbook-public-release}
}

2025

PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration

Seungjae Baek*, Brady Moon*, Seungchan Kim*, Muqing Cao, Cherie Ho, Sebastian Scherer, Jeonghwan Jeon
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{baek2025pipe,
  title = {PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration},
  author = {Baek*, Seungjae and Moon*, Brady and Kim*, Seungchan and Cao, Muqing and Ho, Cherie and Scherer, Sebastian and Jeon, Jeonghwan},
  year = {2025}
  booktitle = {2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  url = {https://arxiv.org/pdf/2503.07504},
  video = {https://youtu.be/oZEqbCBRn-I?si=P-H09k57_BnxLHrL}
}

Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements

Derek Benham, Easton Potokar, Joshua G Mangelson
Preprint arXiv:2506.10850
Raw BibTeX
@article{benham2025invariant,
  title={Invariant Extended Kalman Filter for Autonomous Surface Vessels with Partial Orientation Measurements},
  author={Benham, Derek and Potokar, Easton and Mangelson, Joshua G},
  journal={Preprint arXiv:2506.10850},
  eprint={2506.10850},
  url={https://arxiv.org/abs/2506.10850v1}
  year={2025}
}

One-Way Acoustic Signal Localization using Received Signal Strength

Derek Benham, Clayton Smith, Tristan Hodgins, Ashton Palacios, Phil Lundrigan, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{benham2025oneway,
  title={One-Way Acoustic Signal Localization using Received Signal Strength},
  author={Benham, Derek and Smith, Clayton and Hodgins, Tristan and Palacios, Ashton and Lundrigan, Phil and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Great Lakes, Chicago, IL, USA},
  year={2025},
  url={https://drbenham.website/assets/2025_OCEANS_Great_Lakes__Acoustic_Signal_Localization.pdf}
}

Low-cost Multi-agent Fleet for Acoustic Cooperative Localization Research

Nelson Durrant, Braden Meyers, Matthew McMurray, Clayton Smith, Brighton Anderson, Tristan Hodgins, Kalliyan Velasco, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{durrant2025low,
  title={Low-cost Multi-agent Fleet for Acoustic Cooperative Localization Research},
  author={Durrant, Nelson and Meyers, Braden and McMurray, Matthew and Smith, Clayton and Anderson, Brighton and Hodgins, Tristan and Velasco, Kalliyan and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Great Lakes, Chicago, IL, USA},
  note={3rd Place in the OCEANS Student Poster Competition},  
  year={2025},
  url={https://arxiv.org/abs/2511.08822},
  eprint={2511.08822}
}

MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning

Narek Harutyunyan*, Brady Moon*, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian Scherer
2025 International Conference on Advanced Robotics (ICAR)
Abstract

Autonomous indoor exploration is a crucial task for mobile robots, especially in search and rescue and inspection scenarios. Existing approaches often rely on handcrafted heuristics that may not generalize well across different environments. In this work, we propose MapExRL, a novel framework that combines predicted environment context with reinforcement learning to enable efficient and adaptive indoor exploration. Our method leverages a deep neural network to predict the context of the environment, such as room types and connectivity, which is then used to inform the exploration strategy learned through reinforcement learning. We evaluate our approach in simulated indoor environments and demonstrate that MapExRL outperforms traditional exploration methods in terms of coverage efficiency and adaptability to diverse layouts. Our results suggest that incorporating predicted environment context can significantly enhance the performance of autonomous indoor exploration systems.

Raw BibTeX
@inproceedings{harutyunyan2025mapexrl,
    title={MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning}, 
    author={Narek Harutyunyan* and Brady Moon* and Seungchan Kim and Cherie Ho and Adam Hung and Sebastian Scherer},
    year={2025},
    booktitle={2025 International Conference on Advanced Robotics (ICAR)}, 
    url={https://arxiv.org/abs/2503.01548}
    abstract={
      Autonomous indoor exploration is a crucial task for mobile robots, especially in search and rescue and inspection scenarios. Existing approaches often rely on handcrafted heuristics that may not generalize well across different environments. In this work, we propose MapExRL, a novel framework that combines predicted environment context with reinforcement learning to enable efficient and adaptive indoor exploration. Our method leverages a deep neural network to predict the context of the environment, such as room types and connectivity, which is then used to inform the exploration strategy learned through reinforcement learning. We evaluate our approach in simulated indoor environments and demonstrate that MapExRL outperforms traditional exploration methods in terms of coverage efficiency and adaptability to diverse layouts. Our results suggest that incorporating predicted environment context can significantly enhance the performance of autonomous indoor exploration systems.
    },
    video = {https://youtu.be/XYZ123abcde}
}

MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions

Cherie Ho*, Seungchan Kim*, Brady Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia Sycara, Graeme Best, Sebastian Scherer
2025 IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{ho2025mapex,
  title = {MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions},
  author = {Ho*, Cherie and Kim*, Seungchan and Moon, Brady and Parandekar, Aditya and Harutyunyan, Narek and Wang, Chen and Sycara, Katia and Best, Graeme and Scherer, Sebastian},
  year = {2025}
  doi = {10.1109/ICRA55743.2025.11128862},
  selected = {true},
  booktitle = {2025 IEEE International Conference on Robotics and Automation (ICRA)},
  url = {https://arxiv.org/pdf/2409.15590},
  code = {https://github.com/castacks/MapEx},
  video = {https://youtu.be/x6vEn8d6lN0}
}

Systems and methods for active-light based precision localization of aircrafts in GPS-denied environments

Anthony Hunter, Timothy McLain, Joshua Mangelson, Gary Long, Pablo Hopman, Siddhartha Kumar, David Christopher Akagi, Kalliyan Velasco
Raw BibTeX
@misc{hunter2025systems,
  title={Systems and methods for active-light based precision localization of aircrafts in GPS-denied environments},
  author={Hunter, Anthony and McLain, Timothy and Mangelson, Joshua and Long, Gary and Hopman, Pablo and Kumar, Siddhartha and Akagi, David Christopher and Velasco, Kalliyan},
  year={2025},
  month={January},
  note={US Patent 12,205,484},
  url={https://patents.google.com/patent/US12205484B1/en}
}

Continuous-Time Estimation in the Flat Output Space Using B-Splines

Jacob C Johnson, Joshua G Mangelson, Randal W Beard
IEEE/ION Position, Location and Navigation Symposium (PLANS)
Raw BibTeX
@inproceedings{johnson2025continuous,
  title={Continuous-Time Estimation in the Flat Output Space Using B-Splines},
  author={Johnson, Jacob C and Mangelson, Joshua G and Beard, Randal W},
  booktitle={IEEE/ION Position, Location and Navigation Symposium (PLANS)},
  pages={1439--1446},
  url={https://www2.ion.org/plans/abstracts.cfm?paperID=15197},
  eprint={2503.06784},
  year={2025}
}

Hierarchical Planning for Long-Horizon Multi-Target Tracking Under Target Motion Uncertainty

Junbin Yuan, Brady Moon, Muqing Cao, Sebastian Scherer
IEEE Robotics and Automation Letters
Raw BibTeX
@ARTICLE{junbin2025,
  author={Yuan, Junbin and Moon, Brady and Cao, Muqing and Scherer, Sebastian},
  journal={IEEE Robotics and Automation Letters}, 
  title={Hierarchical Planning for Long-Horizon Multi-Target Tracking Under Target Motion Uncertainty}, 
  year={2025},
  month=oct,
  volume={},
  url={https://arxiv.org/pdf/2510.10421},
  number={},
  pages={1-8}
  keywords={Target tracking;Uncertainty;Planning;Robots;Spirals;Robot sensing systems;Sensors;Search problems;Trajectory;Covariance matrices;Planning under Uncertainty;Task and Motion Planning;Motion and Path Planning},
  doi={10.1109/LRA.2025.3625492}
}

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

Parv Kapoor*, Ian Higgins*, Nikhil Keetha*, Jay Patrikar*, Brady Moon, Zelin Ye, Yao He, Ivan Cisneros, Yaoyu Hu, Changliu Liu, Eunsuk Kang, Sebastian Scherer
Robotics: Science and Systems (RSS)
Raw BibTeX
@inproceedings{kapoor2025demonstrating,
  title = {Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid},
  author = {Kapoor*, Parv and Higgins*, Ian and Keetha*, Nikhil and Patrikar*, Jay and Moon, Brady and Ye, Zelin and He, Yao and Cisneros, Ivan and Hu, Yaoyu and Liu, Changliu and Kang, Eunsuk and Scherer, Sebastian},
  year = {2025}
  booktitle = {Robotics: Science and Systems (RSS)},
  url = {https://arxiv.org/pdf/2505.03694},
  video = {https://youtu.be/oQxh6X9sDtw}
}

Testing and Evaluation of Underwater Vehicle Using Hardware-In-The-Loop Simulation with HoloOcean

Braden Meyers, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{meyers2025testing,
  title={Testing and Evaluation of Underwater Vehicle Using Hardware-In-The-Loop Simulation with HoloOcean},
  author={Meyers, Braden and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Great Lakes, Chicago, IL, USA},
  note={1st Place in the OCEANS Student Poster Competition},
  year={2025},
  url={https://www.arxiv.org/abs/2511.07687},
  eprint={2511.07687}
}

IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning

Brady Moon, Nayana Suvarna, Andrew Jong, Satrajit Chatterjee, Junbin Yuan, Sebastian Scherer
Raw BibTeX
@inproceedings{moon2025ia-tigris,
  title = {IA-TIGRIS: An Incremental and Adaptive Sampling-Based Planner for Online Informative Path Planning},
  author = {Moon, Brady and Suvarna, Nayana and Jong, Andrew and Chatterjee, Satrajit and Yuan, Junbin and Scherer, Sebastian},
  year = {2025},
  url = {https://arxiv.org/abs/2502.15961}
  eprint = {2502.15961},
  archiveprefix = {arXiv},
  primaryclass = {cs.RO},
  video = {https://youtu.be/etFLanBdgHs}
}

Informative Path Planning Toward Autonomous Real-World Applications

Brady Moon
Ph.D. Dissertation
Raw BibTeX
@phdthesis{moon2025informative,
  title={Informative Path Planning Toward Autonomous Real-World Applications},
  author={Moon, Brady},
  year={2025},
  school={Carnegie Mellon University},
  booktitle={Ph.D. Dissertation},
  url={https://www.ri.cmu.edu/app/uploads/2025/05/bradym_phd_ri_2025.pdf},
  video={https://youtu.be/mWyqYeOTZIs?si=krfD6GQ9P_OuzO7Y}}

Cross-Modal Stereo Sonar Geometry: Projections for Sidescan and Forward-looking Sonar

Kalin Norman, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{norman2025feature,
  title={Cross-Modal Stereo Sonar Geometry: Projections for Sidescan and Forward-looking Sonar},
  author={Norman, Kalin and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Great Lakes, Chicago, IL, USA},
  year={2025}
}

A Preview of HoloOcean 2.0

Blake Romrell, Abigail Austin, Braden Meyers, Ryan Anderson, Carter Noh, Joshua G Mangelson
Preprint arXiv:2510.06160
Raw BibTeX
@article{romrell2025preview,
  title={A Preview of HoloOcean 2.0},
  author={Romrell, Blake and Austin, Abigail and Meyers, Braden and Anderson, Ryan and Noh, Carter and Mangelson, Joshua G},
  journal={Preprint arXiv:2510.06160},
  year={2025},
  url={https://arxiv.org/html/2510.06160v1}
}

Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping

Chad R Samuelson, Abigail Austin, Seth Knoop, Blake Romrell, Gabriel R Slade, Timothy W McLain, Joshua G Mangelson
Preprint arXiv:2509.19579
Raw BibTeX
@article{samuelson2025terra,
  title={Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping},
  author={Samuelson, Chad R and Austin, Abigail and Knoop, Seth and Romrell, Blake and Slade, Gabriel R and McLain, Timothy W and Mangelson, Joshua G},
  journal={Preprint arXiv:2509.19579},
  year={2025}
}

Towards Terrain-Aware Task-Driven 3D Scene Graph Generation in Outdoor Environments

Chad R Samuelson, Timothy W McLain, Joshua G Mangelson
Preprint arXiv:2506.06562
Raw BibTeX
@article{samuelson2025towards,
  title={Towards Terrain-Aware Task-Driven 3D Scene Graph Generation in Outdoor Environments},
  author={Samuelson, Chad R and McLain, Timothy W and Mangelson, Joshua G},
  journal={Preprint arXiv:2506.06562},
  url={https://arxiv.org/abs/2506.06562},
  eprint={2506.06562},
  year={2025}
}

UniSaT: Unified-Objective Belief Model and Planner to Search for and Track Multiple Objects

Leonardo Santos*, Brady Moon*, Sebastian Scherer, Hoa Van Nguyen
AIAA SCITECH 2025 Forum
Raw BibTeX
@inproceedings{Santos2025,
  title = {UniSaT: Unified-Objective Belief Model and Planner to Search for and Track Multiple Objects},
  url={https://arxiv.org/abs/2405.15997}, 
  DOI = {10.2514/6.2025-2114}
  booktitle = {AIAA SCITECH 2025 Forum},
  publisher = {American Institute of Aeronautics and Astronautics},
  author = {Santos*,  Leonardo and Moon*,  Brady and Scherer,  Sebastian and Van Nguyen,  Hoa},
  year = {2025}
}

Factor-Graph-Based Passive Acoustic Navigation for Decentralized Cooperative Localization Using Bearing Elevation Depth Difference

Kalliyan Velasco, Timothy W McLain, Joshua G Mangelson
Preprint arXiv:2506.14690
Raw BibTeX
@article{velasco2025factor,
  title={Factor-Graph-Based Passive Acoustic Navigation for Decentralized Cooperative Localization Using Bearing Elevation Depth Difference},
  author={Velasco, Kalliyan and McLain, Timothy W and Mangelson, Joshua G},
  journal={Preprint arXiv:2506.14690},
  url={https://arxiv.org/abs/2506.14690},
  eprint={2506.14690},
  year={2025}
}

Infinite Leagues Under the Sea: Realistic 3D Underwater Terrain Generation Augmented by Visual Foundation Models

Tianyi Zhang, Weiming Zhi, Joshua G Mangelson, Matthew Johnson-Roberson
ICLR 2025 Workshop on Foundation Models in the Wild
Raw BibTeX
@inproceedings{zhang2025infinite,
  title={Infinite Leagues Under the Sea: Realistic 3D Underwater Terrain Generation Augmented by Visual Foundation Models},
  author={Zhang, Tianyi and Zhi, Weiming and Mangelson, Joshua G and Johnson-Roberson, Matthew},
  booktitle={ICLR 2025 Workshop on Foundation Models in the Wild},
  url={https://arxiv.org/abs/2503.06784},
  eprint={2503.06784},
  year={2025}
}

2024

Robust IR-based pose estimation for precision VTOL aircraft landing in urban environments

David Akagi, Tim McLain, Joshua Mangelson
Proceedings of the IEEE International Conference on Unmanned Aircraft Systems (ICUAS)
Raw BibTeX
@inproceedings{akagi2024robust,
  title={Robust IR-based pose estimation for precision VTOL aircraft landing in urban environments},
  author={Akagi, David and McLain, Tim and Mangelson, Joshua},
  booktitle={Proceedings of the IEEE International Conference on Unmanned Aircraft Systems (ICUAS)},
  pages={1292--1300},
  year={2024},
  url={https://ieeexplore.ieee.org/abstract/document/10557092}
}

Low-Cost Urban Localization with Magnetometer and LoRa Technology

Derek Benham, Ashton Palacios, Philip Lundrigan, Joshua G Mangelson
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{benham2024low,
  title={Low-Cost Urban Localization with Magnetometer and LoRa Technology},
  author={Benham, Derek and Palacios, Ashton and Lundrigan, Philip and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Abu Dhabi, UAE},
  pages={11715--11722},
  year={2024}, 
  url={https://ieeexplore.ieee.org/abstract/document/10801786}
}

Decentralized Multi-Agent Search for Moving Targets Using Road Network Gaussian Process Regressions

Brady Moon, Christine Akagi, Cameron K. Peterson
Drones
Abstract

Unmanned aerial vehicles (UAVs) can collaborate as teams to accomplish diverse mission objectives, such as target search and tracking. This paper introduces a method that leverages accumulated target-density information over the course of a UAV mission to adapt path-planning rewards, guiding UAVs toward areas with a higher likelihood of target presence. The target density is modeled using a Gaussian process, which is iteratively updated as the UAVs search the environment. Unlike conventional search algorithms that prioritize unexplored regions, this approach incentivizes revisiting target-rich areas. The target-density information is shared across UAVs using decentralized consensus filters, enabling cooperative path selection that balances the exploration of uncertain regions with the exploitation of known high-density areas. The framework presented in this paper provides an adaptive cooperative search method that can quickly develop an understanding of the region’s target-dense areas, helping UAVs refine their search. Through Monte Carlo simulations, we demonstrate this method in both a 2D grid region and road networks, showing up to a 26% improvement in target density estimates.

Raw BibTeX
@Article{drones8110606,
AUTHOR = {Moon, Brady and Akagi, Christine and Peterson, Cameron K.},
TITLE = {Decentralized Multi-Agent Search for Moving Targets Using Road Network Gaussian Process Regressions},
JOURNAL = {Drones},
VOLUME = {8},
YEAR = {2024},
NUMBER = {11}
ARTICLE-NUMBER = {606},
URL = {https://www.mdpi.com/2504-446X/8/11/606},
ISSN = {2504-446X},
ABSTRACT = {Unmanned aerial vehicles (UAVs) can collaborate as teams to accomplish diverse mission objectives, such as target search and tracking. This paper introduces a method that leverages accumulated target-density information over the course of a UAV mission to adapt path-planning rewards, guiding UAVs toward areas with a higher likelihood of target presence. The target density is modeled using a Gaussian process, which is iteratively updated as the UAVs search the environment. Unlike conventional search algorithms that prioritize unexplored regions, this approach incentivizes revisiting target-rich areas. The target-density information is shared across UAVs using decentralized consensus filters, enabling cooperative path selection that balances the exploration of uncertain regions with the exploitation of known high-density areas. The framework presented in this paper provides an adaptive cooperative search method that can quickly develop an understanding of the region’s target-dense areas, helping UAVs refine their search. Through Monte Carlo simulations, we demonstrate this method in both a 2D grid region and road networks, showing up to a 26% improvement in target density estimates.},
DOI = {10.3390/drones8110606}
}

Group-k consistent measurement set maximization via maximum clique over k-uniform hypergraphs for robust multi-robot map merging

Brendon Forsgren, Michael Kaess, Ram Vasudevan, Timothy W McLain, Joshua G Mangelson
The International Journal of Robotics Research
Raw BibTeX
@article{forsgren2024group,
  title={Group-k consistent measurement set maximization via maximum clique over k-uniform hypergraphs for robust multi-robot map merging},
  author={Forsgren, Brendon and Kaess, Michael and Vasudevan, Ram and McLain, Timothy W and Mangelson, Joshua G},
  journal={The International Journal of Robotics Research},
  volume={43},
  number={14},
  pages={2245--2273},
  year={2024},
  publisher={SAGE Publications Sage UK: London, England}
}

Continuous-time trajectory estimation: A comparative study between Gaussian process and spline-based approaches

Jacob Johnson, Joshua Mangelson, Timothy Barfoot, Randal Beard
Preprint arXiv:2402.00399
Raw BibTeX
@article{johnson2024continuous,
  title={Continuous-time trajectory estimation: A comparative study between Gaussian process and spline-based approaches},
  author={Johnson, Jacob and Mangelson, Joshua and Barfoot, Timothy and Beard, Randal},
  journal={Preprint arXiv:2402.00399},
  year={2024}
}

Informative Sensor Planning for a Single-Axis Gimbaled Camera on a Fixed-Wing UAV

Aditya Parandekar, Brady Moon, Nayana Suvarna, Sebastian Scherer
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
Raw BibTeX
@inproceedings{parandekar2024informative,
  title = {Informative Sensor Planning for a Single-Axis Gimbaled Camera on a Fixed-Wing UAV},
  author = {Parandekar, Aditya and Moon, Brady and Suvarna, Nayana and Scherer, Sebastian},
  year = {2024}
  booktitle = {2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)},
  pages = {1798--1804},
  doi = {10.1109/CASE59546.2024.10711697},
  url = {https://arxiv.org/abs/2407.04896}
}

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations

Jay Patrikar, Joao Dantas, Brady Moon, Milad Hamidi, Sourish Ghosh, Nikhil Keetha, Ian Higgins, Atharva Chandak, Takashi Yoneyama, Sebastian Scherer
Scientific Data
Raw BibTeX
@article{patrikar2024tartanaviation,
  title = {TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations},
  author = {Patrikar, Jay and Dantas, Joao and Moon, Brady and Hamidi, Milad and Ghosh, Sourish and Keetha, Nikhil and Higgins, Ian and Chandak, Atharva and Yoneyama, Takashi and Scherer, Sebastian},
  year = {2024},
  url = {https://arxiv.org/pdf/2403.03372.pdf},
  journal = {Scientific Data}
  code = {https://github.com/castacks/tartanaviation/}
  doi = {10.1038/s41597-025-04775-6}
}

HoloOcean: A full-featured marine robotics simulator for perception and autonomy

Easton Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Spencer Ashford, Randy Peirce, Tracianne B Neilsen, Michael Kaess, Joshua G Mangelson
IEEE Journal of Oceanic Engineering
Raw BibTeX
@article{potokar2024holoocean,
  title={HoloOcean: A full-featured marine robotics simulator for perception and autonomy},
  author={Potokar, Easton and Lay, Kalliyan and Norman, Kalin and Benham, Derek and Ashford, Spencer and Peirce, Randy and Neilsen, Tracianne B and Kaess, Michael and Mangelson, Joshua G},
  journal={IEEE Journal of Oceanic Engineering},
  year={2024},
  publisher={IEEE},
  url={https://ieeexplore.ieee.org/abstract/document/10638434}
}

An Introduction to the Invariant Extended Kalman Filter [Lecture Notes]

Easton R Potokar, Randal W Beard, Joshua G Mangelson
IEEE Control Systems Magazine
Raw BibTeX
@article{potokar2024introduction,
  title={An Introduction to the Invariant Extended Kalman Filter [Lecture Notes]},
  author={Potokar, Easton R and Beard, Randal W and Mangelson, Joshua G},
  journal={IEEE Control Systems Magazine},
  volume={44},
  number={6},
  pages={50--71},
  year={2024},
  publisher={IEEE},
  url={https://ieeexplore.ieee.org/abstract/document/10752718}
}

A Guided Gaussian-Dirichlet Random Field for Scientist-in-the-Loop Inference in Underwater Robotics

Chad R Samuelson, Joshua G Mangelson
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{samuelson2024guided,
  title={A Guided Gaussian-Dirichlet Random Field for Scientist-in-the-Loop Inference in Underwater Robotics},
  author={Samuelson, Chad R and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Yokohama, Japan},
  pages={9448--9454},
  year={2024},
  url={https://ieeexplore.ieee.org/document/10611290}
}

Recgs: Removing water caustic with recurrent gaussian splatting

Tianyi Zhang, Weiming Zhi, Braden Meyers, Nelson Durrant, Kaining Huang, Joshua Mangelson, Corina Barbalata, Matthew Johnson-Roberson
IEEE Robotics and Automation Letters
Raw BibTeX
@article{zhang2024recgs,
  title={Recgs: Removing water caustic with recurrent gaussian splatting},
  author={Zhang, Tianyi and Zhi, Weiming and Meyers, Braden and Durrant, Nelson and Huang, Kaining and Mangelson, Joshua and Barbalata, Corina and Johnson-Roberson, Matthew},
  journal={IEEE Robotics and Automation Letters},
  year={2024},
  publisher={IEEE},
  url={https://ieeexplore.ieee.org/abstract/document/10777046}
}

2023

AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking

Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
2023 IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@INPROCEEDINGS{airtrack,
  author={Ghosh, Sourish and Patrikar, Jay and Moon, Brady and Hamidi, Milad Moghassem and Scherer, Sebastian},
  booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)}, 
  title={AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking}, 
  year={2023},
  volume={}
  video={https://youtu.be/H3lL_Wjxjpw},
  number={},
  pages={1277-1283},
  keywords={Deep learning;Measurement;Image resolution;Automation;Helicopters;Real-time systems;Object tracking},
  doi={10.1109/ICRA48891.2023.10160627}
}

WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views

Andrew Jong, Mukai Yu, Devansh Dhrafani, Siva Kailas, Brady Moon, Katia Sycara, Sebastian Scherer
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{jong2023wit-uas,
  title = {WIT-UAS: A Wildland-fire Infrared Thermal Dataset to Detect Crew Assets From Aerial Views},
  author = {Jong, Andrew and Yu, Mukai and Dhrafani, Devansh and Kailas, Siva and Moon, Brady and Sycara, Katia and Scherer, Sebastian},
  year = {2023},
  booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {11464--11471},
  code = {https://github.com/castacks/WIT-UAS-Dataset}
  doi = {10.1109/IROS55552.2023.10341683},
  url = {https://arxiv.org/pdf/2312.09159},
  organization = {IEEE}
}

Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification

Brady Moon*, Sagar Sachdev*, Junbin Yuan, Sebastian Scherer
IEEE Robotics and Automation Letters
Raw BibTeX
@article{moon2023time-optimal,
  title = {Time-Optimal Path Planning in a Constant Wind for Uncrewed Aerial Vehicles using Dubins Set Classification},
  author = {Moon*, Brady and Sachdev*, Sagar and Yuan, Junbin and Scherer, Sebastian},
  year = {2023},
  journal = {IEEE Robotics and Automation Letters},
  publisher = {IEEE}
  doi = {10.1109/LRA.2023.3333167}
  code = {https://github.com/castacks/trochoids},
  url = {https://arxiv.org/pdf/2306.11845.pdf},
  video = {https://youtu.be/qOU5gI7JshI}
}

Actag: Opti-acoustic fiducial markers for underwater localization and mapping

Kalin Norman, Daniel Butterfield, Joshua G Mangelson
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{norman2023actag,
  title={Actag: Opti-acoustic fiducial markers for underwater localization and mapping},
  author={Norman, Kalin and Butterfield, Daniel and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Detroit, MI, USA},
  pages={9955--9962},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10341885}
}

Quantifying the Effect of Weather on Advanced Air Mobility Operations

Ashima Sharma, Jay Patrikar, Brady Moon, Sebastian Scherer, Constantine Samaras
Findings
Raw BibTeX
@article{Sharma2023,
  title = {Quantifying the Effect of Weather on Advanced Air Mobility Operations},
  ISSN = {2652-8800},
  url = {http://dx.doi.org/10.32866/001c.66207},
  DOI = {10.32866/001c.66207},
  code = {https://github.com/ashimas11/python-metar},
  journal = {Findings}
  publisher = {Network Design Lab - Transport Findings},
  author = {Sharma,  Ashima and Patrikar,  Jay and Moon,  Brady and Scherer,  Sebastian and Samaras,  Constantine},
  year = {2023},
  month = jan 
}

PyPose: A library for robot learning with physics-based optimization

Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, others
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Raw BibTeX
@inproceedings{wang2023pypose,
  title = {PyPose: A library for robot learning with physics-based optimization},
  author = {Wang, Chen and Gao, Dasong and Xu, Kuan and Geng, Junyi and Hu, Yaoyu and Qiu, Yuheng and Li, Bowen and Yang, Fan and Moon, Brady and Pandey, Abhinav and others},
  year = {2023},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {22024--22034}
  code = {https://github.com/pypose/pypose}
  video={https://youtu.be/XDtUDIWuGng},
  doi = {10.1109/CVPR52729.2023.02109},
  url = {https://arxiv.org/pdf/2209.15428}
}

Staying Connected: Improving Communication Between Underwater Vehicles Using An Autonomous Intermediary

Devon M Webb, Christopher Archibald, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{webb2023staying,
  title={Staying Connected: Improving Communication Between Underwater Vehicles Using An Autonomous Intermediary},
  author={Webb, Devon M and Archibald, Christopher and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Limerick, Ireland},
  pages={1--8},
  year={2023},
  url={https://ieeexplore.ieee.org/abstract/document/10244625}
}

2022

3d reconstruction of reefs using autonomous surface vessels and an analysis of chain vs 3d rugosity measurement robustness

Derek Benham, Aaron Newman, Kalai Ellis, Richard Gill, Joshua G Mangelson
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{benham20223d,
  title={3d reconstruction of reefs using autonomous surface vessels and an analysis of chain vs 3d rugosity measurement robustness},
  author={Benham, Derek and Newman, Aaron and Ellis, Kalai and Gill, Richard and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Hampton Roads, VA, USA},
  note={1st Place in the OCEANS Student Poster Competition},
  pages={1--9},
  year={2022},
  organization={IEEE},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Benham22oceans.pdf}
}

Group-k consistent measurement set maximization for robust outlier detection

Brendon Forsgren, Ram Vasudevan, Michael Kaess, Timothy W McLain, Joshua G Mangelson
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{forsgren2022group,
  title={Group-k consistent measurement set maximization for robust outlier detection},
  author={Forsgren, Brendon and Vasudevan, Ram and Kaess, Michael and McLain, Timothy W and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Kyoto, Japan},
  pages={4849--4856},
  year={2022},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Forsgren22iros.pdf}
}

Continuous-time trajectory estimation for differentially flat systems

Jacob C Johnson, Joshua G Mangelson, Randal W Beard
IEEE Robotics and Automation Letters
Raw BibTeX
@article{johnson2022continuous,
  title={Continuous-time trajectory estimation for differentially flat systems},
  author={Johnson, Jacob C and Mangelson, Joshua G and Beard, Randal W},
  journal={IEEE Robotics and Automation Letters},
  volume={8},
  number={1},
  pages={145--151},
  year={2022},
  publisher={IEEE},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Johnson22ral.pdf}
}

Aerial Field Robotics

Mihir Kulkarni, Brady Moon, Kostas Alexis, Sebastian Scherer
Encyclopedia of Robotics
Raw BibTeX
@inbook{kulkarni2022aerial,
  title = {Aerial Field Robotics},
  author = {Kulkarni, Mihir and Moon, Brady and Alexis, Kostas and Scherer, Sebastian},
  year = {2022},
  booktitle = {Encyclopedia of Robotics}
  publisher = {Springer Berlin Heidelberg},
  address = {Berlin, Heidelberg},
  pages = {1--15},
  doi = {10.1007/978-3-642-41610-1_221-1},
  isbn = {978-3-642-41610-1},
  url = {https://arxiv.org/pdf/2401.10837}
}

TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning

Brady Moon, Satrajit Chatterjee, Sebastian Scherer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{moon2022tigris,
  doi = {10.1109/IROS47612.2022.9981992},
  url = {https://arxiv.org/abs/2203.12830.pdf},
  author = {Brady Moon and Satrajit Chatterjee and Sebastian Scherer}
  code = {https://github.com/castacks/tigris},
  title = {TIGRIS: An Informed Sampling-based Algorithm for Informative Path Planning},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2022},
  video = {https://youtu.be/bMw5nUGL5GQ}
}

Predicting Like a Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace

Jay Patrikar, Brady Moon, Jean Oh, Sebastian Scherer
International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{patrikar2022predicting,
  title = {Predicting Like a Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace},
  author = {Patrikar, Jay and Moon, Brady and Oh, Jean and Scherer, Sebastian},
  year = {2022},
  booktitle = {International Conference on Robotics and Automation (ICRA)},
  doi = {10.1109/ICRA46639.2022.9811972}
  url = {https://arxiv.org/pdf/2109.15158.pdf},
  code = {https://github.com/castacks/trajairnet},
  video = {https://youtu.be/elAQXrxB2gw}
}

Holoocean: An underwater robotics simulator

Easton Potokar, Spencer Ashford, Michael Kaess, Joshua G Mangelson
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{potokar2022holoocean,
  title={Holoocean: An underwater robotics simulator},
  author={Potokar, Easton and Ashford, Spencer and Kaess, Michael and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Philadelphia, PA, USA},
  pages={3040--3046},
  year={2022},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Potokar22icra.pdf}
}

HoloOcean: Realistic sonar simulation

Easton Potokar, Kalliyan Lay, Kalin Norman, Derek Benham, Tracianne B Neilsen, Michael Kaess, Joshua G Mangelson
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{potokar2022holoocean,
  title={HoloOcean: Realistic sonar simulation},
  author={Potokar, Easton and Lay, Kalliyan and Norman, Kalin and Benham, Derek and Neilsen, Tracianne B and Kaess, Michael and Mangelson, Joshua G},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Kyoto, Japan},
  pages={8450--8456},
  year={2022},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Potokar22iros.pdf}
}

InCOpt: Incremental constrained optimization using the Bayes tree

Mohamad Qadri, Paloma Sodhi, Joshua G Mangelson, Frank Dellaert, Michael Kaess
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{qadri2022incopt,
  title={InCOpt: Incremental constrained optimization using the Bayes tree},
  author={Qadri, Mohamad and Sodhi, Paloma and Mangelson, Joshua G and Dellaert, Frank and Kaess, Michael},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Kyoto, Japan},
  pages={6381--6388},
  year={2022},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Qadri22iros.pdf}
}

Resilient and modular subterranean exploration with a team of roving and flying robots

Sebastian Scherer, Vasu Agrawal, Graeme Best, Chao Cao, Katarina Cujic, Ryan Darnley, Robert DeBortoli, Eric Dexheimer, Bill Drozd, Rohit Garg, others
Field Robotics
Raw BibTeX
@article{scherer2022resilient,
  title={Resilient and modular subterranean exploration with a team of roving and flying robots},
  author={Scherer, Sebastian and Agrawal, Vasu and Best, Graeme and Cao, Chao and Cujic, Katarina and Darnley, Ryan and DeBortoli, Robert and Dexheimer, Eric and Drozd, Bill and Garg, Rohit and others},
  journal={Field Robotics},
  volume={2},
  pages={678--734},
  year={2022},
  publisher={FRPS},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Scherer22fieldrobotics.pdf}
}

Shapemap 3-d: Efficient shape mapping through dense touch and vision

Sudharshan Suresh, Zilin Si, Joshua G Mangelson, Wenzhen Yuan, Michael Kaess
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{suresh2022shapemap,
  title={Shapemap 3-d: Efficient shape mapping through dense touch and vision},
  author={Suresh, Sudharshan and Si, Zilin and Mangelson, Joshua G and Yuan, Wenzhen and Kaess, Michael},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Philadelphia, PA, USA},
  pages={7073--7080},
  year={2022},
  url={https://robots.et.byu.edu/jmangelson/pubs/2022/Shuresh22icra.pdf}
}

2021

A graph-based method for joint instance segmentation of point clouds and image sequences

Montiel Abello, Joshua G Mangelson, Michael Kaess
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{abello2021graph,
  title={A graph-based method for joint instance segmentation of point clouds and image sequences},
  author={Abello, Montiel and Mangelson, Joshua G and Kaess, Michael},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Xi'an, China},
  pages={9565--9571},
  year={2021},
  url={https://robots.et.byu.edu/jmangelson/pubs/2021/Abello21icra.pdf}
}

Gesture commands for controlling high-level UAV behavior

John Akagi, T. Devon Morris, Brady Moon, Xingguang Chen, Cameron K. Peterson
SN Applied Sciences
Raw BibTeX
@article{Akagi2021,
  title = {Gesture commands for controlling high-level UAV behavior},
  volume = {3},
  ISSN = {2523-3971},
  url = {http://dx.doi.org/10.1007/s42452-021-04583-8},
  DOI = {10.1007/s42452-021-04583-8},
  number = {6}
  journal = {SN Applied Sciences},
  publisher = {Springer Science and Business Media LLC},
  author = {Akagi,  John and Morris,  T. Devon and Moon,  Brady and Chen,  Xingguang and Peterson,  Cameron K.},
  year = {2021},
  month = may 
}

In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery

Thiago A. Rodrigues, Jay Patrikar, Arnav Choudhry, Jacob Feldgoise, Vaibhav Arcot, Aradhana Gahlaut, Sophia Lau, Brady Moon, Bastian Wagner, H. Scott Matthews, Sebastian Scherer, Constantine Samaras
Scientific Data
Raw BibTeX
@article{arodrigues2021in-flight,
  title = {In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery},
  author = {Rodrigues, Thiago A. and Patrikar, Jay and Choudhry, Arnav and Feldgoise, Jacob and Arcot, Vaibhav and Gahlaut, Aradhana and Lau, Sophia and Moon, Brady and Wagner, Bastian and Matthews, H. Scott and Scherer, Sebastian and Samaras, Constantine},
  year = {2021},
  month = jun,
  journal = {Scientific Data}
  publisher = {Springer Science and Business Media LLC},
  doi = {10.1038/s41597-021-00930-x},
  url = {https://arxiv.org/pdf/2103.13313}
}

Hypermap: Compressed 3d map for monocular camera registration

Ming-Fang Chang, Joshua Mangelson, Michael Kaess, Simon Lucey
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{chang2021hypermap,
  title={Hypermap: Compressed 3d map for monocular camera registration},
  author={Chang, Ming-Fang and Mangelson, Joshua and Kaess, Michael and Lucey, Simon},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Xi'an, China},
  pages={11739--11745},
  year={2021},
  url={https://robots.et.byu.edu/jmangelson/pubs/2021/Chang21icra.pdf}
}

Map compressibility assessment for lidar registration

Ming-Fang Chang, Wei Dong, Joshua Mangelson, Michael Kaess, Simon Lucey
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{chang2021map,
  title={Map compressibility assessment for lidar registration},
  author={Chang, Ming-Fang and Dong, Wei and Mangelson, Joshua and Kaess, Michael and Lucey, Simon},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Prague, Czech Republic (Virtual)},
  pages={5560--5567},
  year={2021},
  url={https://robots.et.byu.edu/jmangelson/pubs/2021/Chang21iros.pdf}
}

CVaR-Based Flight Energy Risk Assessment for Multirotor UAVs Using a Deep Energy Model

Arnav Choudhry*, Brady Moon*, Jay Patrikar*, Constantine Samaras, Sebastian Scherer
International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{choudhry2021cvar-based,
  title = {CVaR-Based Flight Energy Risk Assessment for Multirotor UAVs Using a Deep Energy Model},
  author = {Choudhry*, Arnav and Moon*, Brady and Patrikar*, Jay and Samaras, Constantine and Scherer, Sebastian},
  year = {2021},
  month = may,
  booktitle = {International Conference on Robotics and Automation (ICRA)},
  address = {Xi'an, China}
  doi = {10.1109/ICRA48506.2021.9561658},
  code = {https://github.com/castacks/cvar-energy-risk-deep-model},
  url = {https://arxiv.org/pdf/2105.15189},
  video = {https://youtu.be/PHXGigqilOA}
}

Invariant Extended Kalman Filtering for Underwater Navigation

Easton R Potokar, Kalin Norman, Joshua G Mangelson
IEEE Robotics and Automation Letters
Raw BibTeX
@article{potokar2021invariant,
  title={Invariant Extended Kalman Filtering for Underwater Navigation},
  author={Potokar, Easton R and Norman, Kalin and Mangelson, Joshua G},
  journal={IEEE Robotics and Automation Letters},
  volume={6},
  number={3},
  pages={5792--5799},
  year={2021},
  publisher={IEEE},
  url={https://robots.et.byu.edu/jmangelson/pubs/2021/Potokar2021ral.pdf}
}

Tactile SLAM: Real-time inference of shape and pose from planar pushing

Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu, Joshua G Mangelson, Alberto Rodriguez, Michael Kaess
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{suresh2021tactile,
  title={Tactile SLAM: Real-time inference of shape and pose from planar pushing},
  author={Suresh, Sudharshan and Bauza, Maria and Yu, Kuan-Ting and Mangelson, Joshua G and Rodriguez, Alberto and Kaess, Michael},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Xi'an, China},
  pages={11322--11328},
  year={2021},
  url={https://robots.et.byu.edu/jmangelson/pubs/2021/Suresh21icra.pdf}
}

2020

Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance

Eric Dexheimer, Joshua G Mangelson, Sebastian Scherer, Michael Kaess
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{dexheimer2020efficient,
  title={Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance},
  author={Dexheimer, Eric and Mangelson, Joshua G and Scherer, Sebastian and Kaess, Michael},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Las Vegas, NV, USA (Virtual)},
  pages={4758--4765},
  year={2020},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/dexheimer20iros.pdf}
}

Aras: Ambiguity-aware robust active slam based on multi-hypothesis state and map estimations

Ming Hsiao, Joshua G Mangelson, Sudharshan Suresh, Christian Debrunner, Michael Kaess
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{hsiao2020aras,
  title={Aras: Ambiguity-aware robust active slam based on multi-hypothesis state and map estimations},
  author={Hsiao, Ming and Mangelson, Joshua G and Suresh, Sudharshan and Debrunner, Christian and Kaess, Michael},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Las Vegas, NV, USA (Virtual)}
  pages={5037--5044},
  year={2020},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/Hsiao20iros.pdf}
}

A robust multi-stereo visual-inertial odometry pipeline

Joshua Jaekel, Joshua G Mangelson, Sebastian Scherer, Michael Kaess
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{jaekel2020robust,
  title={A robust multi-stereo visual-inertial odometry pipeline},
  author={Jaekel, Joshua and Mangelson, Joshua G and Scherer, Sebastian and Kaess, Michael},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  address={Las Vegas, NV, USA (Virtual)},
  pages={4623--4630},
  year={2020},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/jaekel20iros.pdf}
}

Characterizing the uncertainty of jointly distributed poses in the lie algebra

Joshua G Mangelson, Maani Ghaffari, Ram Vasudevan, Ryan M Eustice
IEEE Transactions on Robotics
Raw BibTeX
@article{mangelson2020characterizing,
  title={Characterizing the uncertainty of jointly distributed poses in the lie algebra},
  author={Mangelson, Joshua G and Ghaffari, Maani and Vasudevan, Ram and Eustice, Ryan M},
  journal={IEEE Transactions on Robotics},
  volume={36},
  number={5},
  pages={1371--1388},
  year={2020},
  publisher={IEEE},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/mangelson2020tro.pdf}
}

Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields

Jay Patrikar, Brady Moon, Sebastian Scherer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Raw BibTeX
@inproceedings{patrikar2020,
  author = {Patrikar, Jay and Moon, Brady and Scherer, Sebastian},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  title = {Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields},
  year = {2020}
  doi = {10.1109/IROS45743.2020.9340812},
  month = {October},
  pages = {1254 - 1260},
  url = {https://www.ri.cmu.edu/app/uploads/2020/10/IROS2020__Camera_ready.pdf},
  video = {https://youtu.be/U4XdYgSJRZM}
}

Data Collected with Package Delivery Quadcopter Drone

Thiago A. Rodrigues, Jay Patrikar, Arnav Choudhry, Jacob Feldgoise, Vaibhav Arcot, Aradhana Gahlaut, Sophia Lau, Brady Moon, Bastian Wagner, H Scott Matthews, Sebastian Scherer, Constantine Samaras
Carnegie Mellon University
Raw BibTeX
@misc{rodrigues2020data,
  title = {Data Collected with Package Delivery Quadcopter Drone},
  author = {Rodrigues, Thiago A. and Patrikar, Jay and Choudhry, Arnav and Feldgoise, Jacob and Arcot, Vaibhav and Gahlaut, Aradhana and Lau, Sophia and Moon, Brady and Wagner, Bastian and Matthews, H Scott and Scherer, Sebastian and Samaras, Constantine},
  year = {2020}
  publisher = {Carnegie Mellon University},
  pages = {213876544 Bytes},
  doi = {10.1184/R1/12683453.v1},
  url = {https://kilthub.cmu.edu/articles/dataset/Data_Collected_with_Package_Delivery_Quadcopter_Drone/12683453},
  urldate = {2021-03-28}
}

ICS: Incremental constrained smoothing for state estimation

Paloma Sodhi, Sanjiban Choudhury, Joshua G Mangelson, Michael Kaess
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{sodhi2020ics,
  title={ICS: Incremental constrained smoothing for state estimation},
  author={Sodhi, Paloma and Choudhury, Sanjiban and Mangelson, Joshua G and Kaess, Michael},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Paris, France},
  pages={279--285},
  year={2020},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/sodhi20icra.pdf}
}

Incremental shape and pose estimation from planar pushing using contact implicit surfaces

Sudharshan Suresh, Joshua G Mangelson, Michael Kaess
ICRA 2020 Workshop on Closing the Perception-Action Loop with Vision and Tactile Sensing (ViTac 2020)
Raw BibTeX
@article{suresh2016incremental,
  title={Incremental shape and pose estimation from planar pushing using contact implicit surfaces},
  author={Suresh, Sudharshan and Mangelson, Joshua G and Kaess, Michael},
  booktitle={ICRA 2020 Workshop on Closing the Perception-Action Loop with Vision and Tactile Sensing (ViTac 2020)}
  year={2020},
  month={May},
  url={https://www.ri.cmu.edu/publications/incremental-shape-and-pose-estimation-from-planar-pushing-using-contact-implicit-surfaces/}
}

Active SLAM using 3D submap saliency for underwater volumetric exploration

Sudharshan Suresh, Paloma Sodhi, Joshua G Mangelson, David Wettergreen, Michael Kaess
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{suresh2020active,
  title={Active SLAM using 3D submap saliency for underwater volumetric exploration},
  author={Suresh, Sudharshan and Sodhi, Paloma and Mangelson, Joshua G and Wettergreen, David and Kaess, Michael},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Paris, France},
  pages={3132--3138},
  year={2020},
  url={https://robots.et.byu.edu/jmangelson/pubs/2020/suresh20icra.pdf}
}

2019

Guaranteed globally optimal planar pose graph and landmark SLAM via sparse-bounded sums-of-squares programming

Joshua G Mangelson, Jinsun Liu, Ryan M Eustice, Ram Vasudevan
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{mangelson2019guaranteed,
  title={Guaranteed globally optimal planar pose graph and landmark SLAM via sparse-bounded sums-of-squares programming},
  author={Mangelson, Joshua G and Liu, Jinsun and Eustice, Ryan M and Vasudevan, Ram},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Montreal, Canada},
  pages={9306--9312},
  year={2019},
  url={https://arxiv.org/pdf/1809.07744.pdf}
}

Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees

Joshua G Mangelson
Raw BibTeX
@article{mangelson2019toward,
  title={Toward Robust Multi-Agent Autonomous Underwater Inspection with Consistency and Global Optimality Guarantees},
  author={Mangelson, Joshua G},
  year={2019},
  url={https://deepblue.lib.umich.edu/handle/2027.42/151558}
}

2018

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors

Ross Hartley, Josh Mangelson, Lu Gan, Maani Ghaffari Jadidi, Jeffrey M Walls, Ryan M Eustice, Jessy W Grizzle
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{hartley2018legged,
  title={Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors},
  author={Hartley, Ross and Mangelson, Josh and Gan, Lu and Jadidi, Maani Ghaffari and Walls, Jeffrey M and Eustice, Ryan M and Grizzle, Jessy W},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Brisbane, Australia}
  pages={1--8},
  year={2018},
  url={https://robots.et.byu.edu/jmangelson/pubs/2018/hartley18icra.pdf}
}

Communication Constrained Trajectory Alignment For Multi-Agent Inspection via Linear Programming

Joshua G Mangelson, Ram Vasudevan, Ryan M Eustice
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{mangelson2018communication,
  title={Communication Constrained Trajectory Alignment For Multi-Agent Inspection via Linear Programming},
  author={Mangelson, Joshua G and Vasudevan, Ram and Eustice, Ryan M},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Charleston, SC, USA},
  note={1st Place in the OCEANS Student Poster Competition},
  pages={1--8},
  year={2018},
  url={https://robots.et.byu.edu/jmangelson/pubs/2018/mangelson18oceans.pdf}
}

Pairwise Consistent Measurement Set Maximization for Robust Multi-robot Map Merging

Joshua G Mangelson, Derrick Dominic, Ryan M Eustice, Ram Vasudevan
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)
Raw BibTeX
@inproceedings{mangelson2018pairwise,
  title={Pairwise Consistent Measurement Set Maximization for Robust Multi-robot Map Merging},
  author={Mangelson, Joshua G and Dominic, Derrick and Eustice, Ryan M and Vasudevan, Ram},
  booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
  address={Brisbane, Australia},
  pages={1--8},
  year={2018},
  url={https://robots.et.byu.edu/jmangelson/pubs/2018/mangelson18icra.pdf},
  note={IEEE ICRA 2018 Best Paper on Multi-Robot Systems}
}
Learned Search Parameters For Cooperating Vehicles using Gaussian Process Regressions

Learned Search Parameters For Cooperating Vehicles using Gaussian Process Regressions

Brady G. Moon, Cameron K. Peterson
2018 International Conference on Unmanned Aircraft Systems (ICUAS)
Raw BibTeX
@INPROCEEDINGS{moon2018,
  author={Moon, Brady G. and Peterson, Cameron K.},
  booktitle={2018 International Conference on Unmanned Aircraft Systems (ICUAS)}, 
  title={Learned Search Parameters For Cooperating Vehicles using Gaussian Process Regressions}, 
  year={2018}
  doi={10.1109/ICUAS.2018.8453323}
  pages={493-502}
}

2017

Supplementary material: legged robot state-estimation through combined kinematic and preintegrated contact factors

Ross Hartley, Josh Mangelson, Lu Gan, M Ghaffari Jadidi, Jeffrey M Walls, Ryan M Eustice, Jessy W Grizzle
University of Michigan, Tech. Rep.
Raw BibTeX
@article{hartley2017supplementary,
  title={Supplementary material: legged robot state-estimation through combined kinematic and preintegrated contact factors},
  author={Hartley, Ross and Mangelson, Josh and Gan, Lu and Jadidi, M Ghaffari and Walls, Jeffrey M and Eustice, Ryan M and Grizzle, Jessy W},
  journal={University of Michigan, Tech. Rep.},
  year={2017},
  url={https://ganlumomo.github.io/assets/pdf/ICRAsupplement2018MRH.pdf}
}

2016

Robust visual fiducials for skin-to-skin relative ship pose estimation

Joshua G Mangelson, Ryan W Wolcott, Paul Ozog, Ryan M Eustice
Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition
Raw BibTeX
@inproceedings{mangelson2016robust,
  title={Robust visual fiducials for skin-to-skin relative ship pose estimation},
  author={Mangelson, Joshua G and Wolcott, Ryan W and Ozog, Paul and Eustice, Ryan M},
  booktitle={Proceedings of the IEEE OES/MTS OCEANS Conference and Exhibition},
  address={Monterey, CA, USA},
  pages={1--8},
  year={2016},
  url={https://robots.et.byu.edu/jmangelson/pubs/2016/mangelson16oceans.pdf}
}