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ORCIDJonathan D. Gammell
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2020 – today
- 2024
[j8]Rowan Border
, Jonathan D. Gammell:
The surface edge explorer (SEE): A measurement-direct approach to next best view planning. Int. J. Robotics Res. 43(10): 1506-1532 (2024)- 2023
- [j7]Jianeng Wang, Jonathan D. Gammell:
Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression. IEEE Robotics Autom. Lett. 8(10): 6707-6714 (2023) - [i20]Jianeng Wang, Jonathan D. Gammell:
Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression. CoRR abs/2306.01188 (2023) - [i19]Rowan Border, Nived Chebrolu, Yifu Tao, Jonathan D. Gammell, Maurice F. Fallon:
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning. CoRR abs/2311.03484 (2023) - 2022
- [j6]Marlin P. Strub, Jonathan D. Gammell:
Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning. Int. J. Robotics Res. 41(4): 390-417 (2022) - [j5]Wil Thomason, Marlin P. Strub, Jonathan D. Gammell:
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning. IEEE Robotics Autom. Lett. 7(4): 11370-11377 (2022) - [c14]Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell:
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort. ISRR 2022: 555-571 - [i18]Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell:
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort. CoRR abs/2205.08480 (2022) - [i17]Rowan Border, Jonathan D. Gammell:
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning. CoRR abs/2207.13684 (2022) - [i16]Wil Thomason, Marlin P. Strub, Jonathan D. Gammell:
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning. CoRR abs/2210.09367 (2022) - 2021
- [j4]Jonathan D. Gammell, Marlin P. Strub:
Asymptotically Optimal Sampling-Based Motion Planning Methods. Annu. Rev. Control. Robotics Auton. Syst. 4: 295-318 (2021) - [i15]Marlin P. Strub, Jonathan D. Gammell:
Admissible heuristics for obstacle clearance optimization objectives. CoRR abs/2104.02298 (2021) - [i14]Kevin M. Judd, Jonathan D. Gammell:
Multimotion Visual Odometry (MVO). CoRR abs/2110.15169 (2021) - [i13]Marlin P. Strub, Jonathan D. Gammell:
AIT* and EIT*: Asymmetric bidirectional sampling-based path planning. CoRR abs/2111.01877 (2021) - 2020
- [j3]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search. Int. J. Robotics Res. 39(5) (2020) - [c13]Marlin P. Strub, Jonathan D. Gammell:
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. ICRA 2020: 130-136 - [c12]Marlin P. Strub, Jonathan D. Gammell:
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. ICRA 2020: 3191-3198 - [c11]Rowan Border, Jonathan D. Gammell:
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. IROS 2020: 4219-4226 - [c10]Kevin M. Judd, Jonathan D. Gammell:
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. IROS 2020: 5855-5862 - [c9]Michael Paton, Marlin P. Strub, Travis Brown, Rebecca J. Greene, Jacob Lizewski, Vandan Patel, Jonathan D. Gammell, Issa A. D. Nesnas:
Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers. IROS 2020: 7034-7041 - [i12]Marlin P. Strub, Jonathan D. Gammell:
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. CoRR abs/2002.06589 (2020) - [i11]Marlin P. Strub, Jonathan D. Gammell:
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. CoRR abs/2002.06599 (2020) - [i10]Rowan Border, Jonathan D. Gammell:
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. CoRR abs/2009.04515 (2020) - [i9]Jonathan D. Gammell, Marlin P. Strub:
A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods. CoRR abs/2009.10484 (2020)
2010 – 2019
- 2019
- [j2]Kevin Michael Judd, Jonathan D. Gammell:
The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth. IEEE Robotics Autom. Lett. 4(2): 800-807 (2019) - [i8]Kevin M. Judd, Jonathan D. Gammell:
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth. CoRR abs/1901.01445 (2019) - [i7]Kevin M. Judd, Jonathan D. Gammell:
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. CoRR abs/1905.05121 (2019) - 2018
- [j1]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Sampling for Asymptotically Optimal Path Planning. IEEE Trans. Robotics 34(4): 966-984 (2018) - [c8]Rowan Border, Jonathan D. Gammell, Paul Newman:
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations. ICRA 2018: 1-8 - [c7]Kevin M. Judd, Jonathan D. Gammell, Paul Newman:
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. IROS 2018: 3949-3956 - [i6]Rowan Border, Jonathan D. Gammell, Paul Newman:
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations. CoRR abs/1802.08617 (2018) - [i5]Kevin M. Judd, Jonathan D. Gammell, Paul Newman:
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. CoRR abs/1808.00274 (2018) - 2017
- [i4]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Sampling for Asymptotically Optimal Path Planning. CoRR abs/1706.06454 (2017) - [i3]Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa:
Informed Asymptotically Optimal Anytime Search. CoRR abs/1707.01888 (2017) - 2016
- [c6]Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. ICRA 2016: 4207-4214 - 2015
- [c5]Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot:
Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs. ICRA 2015: 3067-3074 - 2014
- [c4]Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot:
Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic. IROS 2014: 2997-3004 - [i2]Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot:
Informed RRT*: Optimal Incremental Path Planning Focused through an Admissible Ellipsoidal Heuristic. CoRR abs/1404.2334 (2014) - [i1]Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot:
BIT*: Batch Informed Trees for Optimal Sampling-based Planning via Dynamic Programming on Implicit Random Geometric Graphs. CoRR abs/1405.5848 (2014) - 2013
- [c3]Laszlo-Peter Berczi, Jonathan D. Gammell, Chi Hay Tong, Michael Daly, Timothy D. Barfoot:
A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars. CRV 2013: 29-36 - [c2]Jonathan D. Gammell, Chi Hay Tong, Timothy D. Barfoot:
Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation. CRV 2013: 144-150 - [c1]Timothy D. Barfoot, Colin McManus, Sean Anderson, Hang Dong, Erik Beerepoot, Chi Hay Tong, Paul Furgale, Jonathan D. Gammell, John Enright:
Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline. ISRR 2013: 487-504
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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