Showing 50 publications by Maurice Fallon
DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics
Fallon M (2025)
BibTeX
@inproceedings{digiforestsalon-2025/5,
title={DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics},
author={Fallon M},
booktitle={IEEE International Conference on Robotics and Automation},
year = "2025"
}
Markerless aerial-terrestrial co-registration of forest point clouds using a deformable pose graph
Casseau B, Chebrolu N, Mattamala Aravena ME, Freissmuth L & Fallon M (2024), 39-46
BibTeX
@inproceedings{markerlessaeria-2024/12,
title={Markerless aerial-terrestrial co-registration of forest point clouds using a deformable pose graph},
author={Casseau B, Chebrolu N, Mattamala Aravena ME, Freissmuth L & Fallon M},
booktitle={International Conference on Intelligent Robots and Systems (IROS 2024)},
pages={39-46},
year = "2024"
}
Online tree reconstruction and forest inventory on a mobile robotic system
Mattamala Aravena ME, Chebrolu N & Fallon M (2024), 11765-11772
BibTeX
@inproceedings{onlinetreerecon-2024/12,
title={Online tree reconstruction and forest inventory on a mobile robotic system},
author={Mattamala Aravena ME, Chebrolu N & Fallon M},
booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)},
pages={11765-11772},
year = "2024"
}
LiSTA: geometric object-based change detection in cluttered environments
Rowell J, Zhang L & Fallon M (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 3632-3638
Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots
Malladi MVR, Guadagnino T, Lobefaro L, Mattamala M, Griess H et al. (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 17933-17940
BibTeX
@inproceedings{treeinstanceseg-2024/8,
title={Tree instance segmentation and traits estimation for forestry environments exploiting LiDAR data collected by mobile robots},
author={Malladi MVR, Guadagnino T, Lobefaro L, Mattamala M, Griess H et al.},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={17933-17940},
year = "2024"
}
Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding
Kassab C, Mattamala Aravena ME, Zhang L & Fallon M (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 15988-15994
BibTeX
@inproceedings{languageextende-2024/8,
title={Language-EXtended Indoor SLAM (LEXIS): a versatile system for real-time visual scene understanding},
author={Kassab C, Mattamala Aravena ME, Zhang L & Fallon M},
booktitle={ 2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={15988-15994},
year = "2024"
}
SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection
Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al. (2024), 2024 IEEE International Conference on Robotics and Automation (ICRA), 17983-17989
BibTeX
@inproceedings{silvrscalableli-2024/8,
title={SiLVR: scalable Lidar-visual reconstruction with neural radiance fields for robotic inspection},
author={Tao Y, Bhalgat Y, Fu LFT, Mattamala M, Chebrolu N et al.},
booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA 2024)},
pages={17983-17989},
year = "2024"
}
Planning under uncertainty for safe robot exploration using Gaussian process prediction
Stephens A, Budd M, Staniaszek M, Casseau B, Duckworth P et al. (2024), Autonomous Robots, 48(7)
BibTeX
@article{planningunderun-2024/8,
title={Planning under uncertainty for safe robot exploration using Gaussian process prediction},
author={Stephens A, Budd M, Staniaszek M, Casseau B, Duckworth P et al.},
journal={Autonomous Robots},
volume={48},
number={18},
publisher={Springer},
year = "2024"
}
IMU-based online multi-lidar calibration
Das S, Boberg B, Fallon M & Chatterjee S (2024), Proceedings of the 35th IEEE Intelligent Vehicles Symposium (IV 2024), 3227-3234
3D freehand ultrasound using visual inertial and deep inertial odometry for measuring patellar tracking
Buchanan R, Tu SJ, Camurri M, Mellon SJ & Fallon M (2024), 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1-6
BibTeX
@inproceedings{dfreehandultras-2024/7,
title={3D freehand ultrasound using visual inertial and deep inertial odometry for measuring patellar tracking},
author={Buchanan R, Tu SJ, Camurri M, Mellon SJ & Fallon M},
booktitle={19th IEEE International Symposium on Medical Measurements and Applications (MeMeA 2024)},
pages={1-6},
year = "2024"
}
Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning
Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M (2024), IEEE Transactions on Field Robotics, 1, 113-130
BibTeX
@article{ospreymultisess-2024/7,
title={Osprey: multisession autonomous aerial mapping with LiDAR-based SLAM and next best view planning},
author={Border R, Chebrolu N, Tao Y, Gammell JD & Fallon M},
journal={IEEE Transactions on Field Robotics},
volume={1},
pages={113-130},
publisher={IEEE},
year = "2024"
}
3D Freehand Ultrasound using Visual Inertial and Deep Inertial Odometry for Measuring Patellar Tracking
Buchanan R, Tu SJ, Camurri M, Mellon SJ & Fallon M (2024)
Team CERBERUS wins the DARPA subterranean challenge: technical overview and lessons learned
Tranzatto M, Dharmadhikari M, Bernreiter L, Camurri M, Khattak S et al. (2024), Field Robotics, 4(1), 249-312
BibTeX
@article{teamcerberuswin-2024/4,
title={Team CERBERUS wins the DARPA subterranean challenge: technical overview and lessons learned},
author={Tranzatto M, Dharmadhikari M, Bernreiter L, Camurri M, Khattak S et al.},
journal={Field Robotics},
volume={4},
pages={249-312},
publisher={Field Robotics Publication Society},
year = "2024"
}
Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model
Fu LFT, Chebrolu N & Fallon M (2023), 00, 1825-1831
BibTeX
@inproceedings{extrinsiccalibr-2023/10,
title={Extrinsic Calibration of Camera to LIDAR Using a Differentiable Checkerboard Model},
author={Fu LFT, Chebrolu N & Fallon M},
booktitle={2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={1825-1831},
year = "2023"
}
Factor graph fusion of raw GNSS Sensing with IMU and Lidar for precise robot localization without a base station
Beuchert J, Camurri M & Fallon M (2023), 2023 IEEE International Conference on Robotics and Automation (ICRA)
BibTeX
@inproceedings{factorgraphfusi-2023/7,
title={Factor graph fusion of raw GNSS Sensing with IMU and Lidar for precise robot localization without a base station },
author={Beuchert J, Camurri M & Fallon M},
booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},
year = "2023"
}
M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance
Das S, Mahabadi N, Fallon M & Chatterjee S (2023)
Fast traversability estimation for wild visual navigation
Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al. (2023), Robotics: Science and System XIX, 19
InstaLoc: one-shot global lidar localisation in indoor environments through instance learning
Fallon M (2023), Proceeding of the 19th Robotics: Science and Systems (RSS 2023)
BibTeX
@inproceedings{instaloconeshot-2023/7,
title={InstaLoc: one-shot global lidar localisation in indoor environments through instance learning},
author={Fallon M},
booktitle={19th Robotics: Science and Systems (RSS 2023)},
year = "2023"
}
Fast traversability estimation for wild visual navigation
Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al. (2023), Robotics: Science and Systems, XIX, p054
BibTeX
@article{fasttraversabil-2023/6,
title={Fast traversability estimation for wild visual navigation},
author={Frey J, Mattamala Aravena ME, Chebrolu N, Cadena C, Fallon M et al.},
journal={Robotics: Science and Systems},
volume={XIX},
pages={p054},
publisher={Robotics: Science and Systems},
year = "2023"
}
Observability-aware online multi-lidar extrinsic calibration
Das S, Klinteberg LA, Fallon M & Chatterjee S (2023), IEEE Robotics and Automation Letters, 8(5), 2860-2867
Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration
Fu LFT & Fallon M (2023), Proceedings of Machine Learning Research, 229
BibTeX
@inproceedings{batchdifferenti-2023/1,
title={Batch Differentiable Pose Refinement for In-The-Wild Camera/LiDAR Extrinsic Calibration},
author={Fu LFT & Fallon M},
booktitle={2023 Conference on Robot Learning},
year = "2023"
}
Hilti-Oxford Dataset: a millimeter-accurate benchmark for simultaneous localization and mapping
Zhang L, Helmberger M, Fu LFT, Wisth D, Camurri M et al. (2022), IEEE Robotics and Automation Letters, 8(1), 408-415
BibTeX
@article{hiltioxforddata-2022/12,
title={Hilti-Oxford Dataset: a millimeter-accurate benchmark for simultaneous localization and mapping},
author={Zhang L, Helmberger M, Fu LFT, Wisth D, Camurri M et al.},
journal={IEEE Robotics and Automation Letters},
volume={8},
pages={408-415},
publisher={Institute of Electrical and Electronics Engineers},
year = "2022"
}
3D lidar reconstruction with probabilistic depth completion for robotic navigation
Tao Y, Popović M, Wang Y, Digumarti ST, Chebrolu N et al. (2022), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5339-5346,
BibTeX
@inproceedings{dlidarreconstru-2022/12,
title={3D lidar reconstruction with probabilistic depth completion for robotic navigation},
author={Tao Y, Popović M, Wang Y, Digumarti ST, Chebrolu N et al.},
booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)},
pages={5339-5346,},
year = "2022"
}
Deep IMU bias inference for robust visual-inertial odometry with factor graphs
Buchanan R, Agrawal V, Camurri M, Dellaert F & Fallon M (2022), IEEE Robotics and Automation Letters, 8(1), 41-48
BibTeX
@article{deepimubiasinfe-2022/11,
title={Deep IMU bias inference for robust visual-inertial odometry with factor graphs},
author={Buchanan R, Agrawal V, Camurri M, Dellaert F & Fallon M},
journal={IEEE Robotics and Automation Letters},
volume={8},
pages={41-48},
publisher={IEEE},
year = "2022"
}
Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Buchanan R, Agrawal V, Camurri M, Dellaert F & Fallon M (2022)
Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station
Beuchert J, Camurri M & Fallon M (2022)
VILENS: Visual, inertial, lidar, and leg odometry for all-terrain legged robots
Wisth D, Camurri M & Fallon M (2022), IEEE Transactions on Robotics, 39(1), 309-326
Towards real-time forest inventory using handheld LiDAR
Proudman A, Ramezani M, Digumarti S, Chebrolu N & Fallon M (2022), Robotics and Autonomous Systems, 157
Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping
Zhang L, Helmberger M, Fu LFT, Wisth D, Camurri M et al. (2022)
Unsupervised learning of terrain representations for haptic Monte Carlo localization
Łysakowski M, Nowicki M, Buchanan R, Camurri M, Fallon M et al. (2022), 2022 International Conference on Robotics and Automation (ICRA), 4642-4648
BibTeX
@inproceedings{unsupervisedlea-2022/7,
title={Unsupervised learning of terrain representations for haptic Monte Carlo localization},
author={Łysakowski M, Nowicki M, Buchanan R, Camurri M, Fallon M et al.},
booktitle={International Conference on Robotics and Automation (ICRA 2022)},
pages={4642-4648},
year = "2022"
}
Extrinsic calibration and verification of multiple non-overlapping field of view lidar sensors
Das S, Mahabadi N, Djikic A, Nassir C, Chatterjee S et al. (2022), Proceedings of the 2022 International Conference on Robotics and Automation (ICRA), 919-925
BibTeX
@inproceedings{extrinsiccalibr-2022/7,
title={Extrinsic calibration and verification of multiple non-overlapping field of view lidar sensors},
author={Das S, Mahabadi N, Djikic A, Nassir C, Chatterjee S et al.},
booktitle={2022 International Conference on Robotics and Automation (ICRA)},
pages={919-925},
year = "2022"
}
Strategies for large scale elastic and semantic LiDAR reconstruction
Wang Y, Ramezani M, Mattamala M, Digumarti S & Fallon M (2022), Robotics and Autonomous Systems, 155
RLOC: terrain-aware legged locomotion using reinforcement learning and optimal control
Gangapurwala S, Geisert M, Orsolino R, Fallon M & Havoutis I (2022), IEEE Transactions on Robotics, 38(5), 2908-2927
BibTeX
@article{rlocterrainawar-2022/5,
title={RLOC: terrain-aware legged locomotion using reinforcement learning and optimal control},
author={Gangapurwala S, Geisert M, Orsolino R, Fallon M & Havoutis I},
journal={IEEE Transactions on Robotics},
volume={38},
pages={2908-2927},
publisher={IEEE},
year = "2022"
}
Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry
Zhang L, Wisth D, Camurri M & Fallon M (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 7(2), 1182-1189
An Efficient Locally Reactive Controller for Safe Navigation in Visual Teach and Repeat Missions
Mattamala M, Chebrolu N & Fallon M (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 7(2), 2353-2360
AEROS: AdaptivE RObust Least-Squares for Graph-Based SLAM
Ramezani M, Mattamala Aravena ME & Fallon M (2022), Frontiers in Robotics and AI, 9
CERBERUS: autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the DARPA Subterranean Challenge
Tranzatto M, Mascarich F, Bernreiter L, Godinho C, Camurri M et al. (2022), Field Robotics, 2, 274-324
BibTeX
@article{cerberusautonom-2022/3,
title={CERBERUS: autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the DARPA Subterranean Challenge},
author={Tranzatto M, Mascarich F, Bernreiter L, Godinho C, Camurri M et al.},
journal={Field Robotics},
volume={2},
pages={274-324},
publisher={Field Robotics Publication Society},
year = "2022"
}
ICP localization and walking experiments on a TALOS humanoid robot
Lasguignes T, Maroger I, Fallon M, Ramezani M, Marchionni L et al. (2022), Proceedings of the 2021 International Conference on Advanced Robotics (ICAR), 800-805
BibTeX
@inproceedings{icplocalization-2022/1,
title={ICP localization and walking experiments on a TALOS humanoid robot},
author={Lasguignes T, Maroger I, Fallon M, Ramezani M, Marchionni L et al.},
booktitle={2021 20th International Conference on Advanced Robotics (ICAR)},
pages={800-805},
year = "2022"
}
Learning inertial odometry for dynamic legged robot state estimation
Buchanan R, Camurri M, Dellaert F & Fallon M (2022), 1575-1584
BibTeX
@inproceedings{learninginertia-2022/1,
title={Learning inertial odometry for dynamic legged robot state estimation},
author={Buchanan R, Camurri M, Dellaert F & Fallon M},
booktitle={Conference: Conference on Robot Learning (CoRL 2021)},
pages={1575-1584},
year = "2022"
}
The Sheldonian Theatre 3D model
Zhang L, Fu L & Fallon M (2022)
BibTeX
@misc{thesheldonianth-2022/1,
title={The Sheldonian Theatre 3D model},
author={Zhang L, Fu L & Fallon M},
year = "2022"
}
Rapid stability margin estimation for contact-rich locomotion
Orsolino R, Gangapurwala S, Melon O, Geisert M, Havoutis I et al. (2021), Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 8485-8492
BibTeX
@inproceedings{rapidstabilitym-2021/12,
title={Rapid stability margin estimation for contact-rich locomotion},
author={Orsolino R, Gangapurwala S, Melon O, Geisert M, Havoutis I et al.},
booktitle={2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={8485-8492},
year = "2021"
}
Learning Inertial Odometry for Dynamic Legged Robot State Estimation
Buchanan R, Camurri M, Dellaert F & Fallon M (2021)
Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles
Surovik D, Melon O, Geisert M, Fallon M & Havoutis I (2021), Proceedings of the 2020 Conference on Robot Learning, 1509-1518
BibTeX
@inproceedings{learninganexper-2021/10,
title={Learning an expert skill-space for replanning dynamic quadruped locomotion over obstacles},
author={Surovik D, Melon O, Geisert M, Fallon M & Havoutis I},
booktitle={4th Annual Conference on Robot Learning (CoRL2020)},
pages={1509-1518},
year = "2021"
}
Real-time trajectory adaptation for quadrupedal locomotion using deep reinforcement learning
Gangapurwala S, Geisert M, Orsolino R, Fallon M & Havoutis I (2021), Proceedings of the 2021 International Conference on Robotics and Automation (ICRA), 5973-5979
BibTeX
@inproceedings{realtimetraject-2021/10,
title={Real-time trajectory adaptation for quadrupedal locomotion using deep reinforcement learning},
author={Gangapurwala S, Geisert M, Orsolino R, Fallon M & Havoutis I},
booktitle={2021 International Conference on Robotics and Automation (ICRA)},
pages={5973-5979},
year = "2021"
}
Learning camera performance models for active multi-camera visual teach and repeat
Mattamala Aravena ME, Ramezani M, Camurri M & Fallon M (2021), Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), 14346-14352
BibTeX
@inproceedings{learningcamerap-2021/10,
title={Learning camera performance models for active multi-camera visual teach and repeat},
author={Mattamala Aravena ME, Ramezani M, Camurri M & Fallon M},
booktitle={2021 International Conference on Robotics and Automation (ICRA 2021) },
pages={14346-14352},
year = "2021"
}
Receding-horizon perceptive trajectory optimization for dynamic legged locomotion with learned initialization
Melon O, Orsolino R, Surovik D, Geisert M, Havoutis I et al. (2021), Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021)
BibTeX
@inproceedings{recedinghorizon-2021/10,
title={Receding-horizon perceptive trajectory optimization for dynamic legged locomotion with learned initialization},
author={Melon O, Orsolino R, Surovik D, Geisert M, Havoutis I et al.},
booktitle={2021 International Conference on Robotics and Automation (ICRA 2021)},
year = "2021"
}
Elastic and efficient LiDAR reconstruction for large-scale exploration tasks
Wang Y, Funk N, Ramezani M, Papatheodorou S, Popovic M et al. (2021), 2021 IEEE International Conference on Robotics and Automation (ICRA), 5035-5041
BibTeX
@inproceedings{elasticandeffic-2021/10,
title={Elastic and efficient LiDAR reconstruction for large-scale exploration tasks},
author={Wang Y, Funk N, Ramezani M, Papatheodorou S, Popovic M et al.},
booktitle={2021 IEEE International Conference on Robotics and Automation (ICRA 2021)},
pages={5035-5041},
year = "2021"
}
Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry
Zhang L, Wisth D, Camurri M & Fallon M (2021)