Showing 50 publications by Maurice Fallon
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"
}
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"
}
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"
}
M-LIO: Multi-lidar, multi-IMU odometry with sensor dropout tolerance
Das S, Mahabadi N, Fallon M & Chatterjee S (2023), 2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV
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 2023), 8415-8421
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"
}
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)
Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification
Buchanan R, Bednarek J, Camurri M, Nowicki MR, Walas K et al. (2021), Autonomous Robots, 45(6), 843-857
BibTeX
@article{navigatingbytou-2021/8,
title={Navigating by touch: haptic Monte Carlo localization via geometric sensing and terrain classification},
author={Buchanan R, Bednarek J, Camurri M, Nowicki MR, Walas K et al.},
journal={Autonomous Robots},
volume={45},
pages={843-857},
publisher={Springer},
year = "2021"
}
Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification
Buchanan R, Bednarek J, Camurri M, Nowicki MR, Walas K et al. (2021)
Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR
Proudman A, Ramezani M & Fallon M (2021)
Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis
Wang Y, Ramezani M, Mattamala M & Fallon M (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)
SKD: keypoint detection for point clouds using saliency estimation
Tinchev G, Penate Sanchez A & Fallon M (2021), IEEE Robotics and Automation Letters, 6(2), 3785-3792
BibTeX
@article{skdkeypointdete-2021/3,
title={SKD: keypoint detection for point clouds using saliency estimation},
author={Tinchev G, Penate Sanchez A & Fallon M},
journal={IEEE Robotics and Automation Letters},
volume={6},
pages={3785-3792},
publisher={Institute of Electrical and Electronics Engineers},
year = "2021"
}
Learning Camera Performance Models for Active Multi-Camera Visual Teach and Repeat
Mattamala M, Ramezani M, Camurri M & Fallon M (2021)
Unified multi-modal landmark tracking for tightly coupled lidar-visual-inertial odometry
Wisth D, Camurri M, Das S & Fallon M (2021), IEEE Robotics and Automation Letters, 6(2), 1004-1011
Haptic sequential Monte Carlo localization for quadrupedal locomotion in vision-denied scenarios
Buchanan R, Camurri M & Fallon M (2021), 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3657-3663
BibTeX
@inproceedings{hapticsequentia-2021/2,
title={Haptic sequential Monte Carlo localization for quadrupedal locomotion in vision-denied scenarios},
author={Buchanan R, Camurri M & Fallon M},
booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={3657-3663},
year = "2021"
}
The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth
Ramezani M, Wang Y, Camurri M, Wisth D, Mattamala M et al. (2021), IEEE International Conference on Intelligent Robots and Systems, 00, 4353-4360
BibTeX
@inproceedings{thenewercollege-2021/1,
title={The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth},
author={Ramezani M, Wang Y, Camurri M, Wisth D, Mattamala M et al.},
booktitle={2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
pages={4353-4360},
year = "2021"
}
Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis
Wang Y, Ramezani M, Mattamala M & Fallon M (2021), 00, 1-8
Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR
Proudman A, Ramezani M & Fallon M (2021), 00, 1-7
Learning Inertial Odometry for Dynamic Legged Robot State Estimation
Buchanan R, Camurri M, Dellaert F & Fallon M (2021), Proceedings of Machine Learning Research, 164, 1575-1584
BibTeX
@inproceedings{learninginertia-2021/1,
title={Learning Inertial Odometry for Dynamic Legged Robot State Estimation},
author={Buchanan R, Camurri M, Dellaert F & Fallon M},
pages={1575-1584},
year = "2021"
}
RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control
Gangapurwala S, Geisert M, Orsolino R, Fallon M & Havoutis I (2020)
Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry
Wisth D, Camurri M, Das S & Fallon M (2020)
Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks
Wang Y, Funk N, Ramezani M, Papatheodorou S, Popovic M et al. (2020)