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Jonathan Gammell
Jonathan Gammell
Assistant Professor, Queen's University
在 queensu.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic
JD Gammell, SS Srinivasa, TD Barfoot
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
10342014
Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs
JD Gammell, SS Srinivasa, TD Barfoot
2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
5402015
Informed sampling for asymptotically optimal path planning
JD Gammell, TD Barfoot, SS Srinivasa
IEEE Transactions on Robotics 34 (4), 966-984, 2018
1522018
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search
JD Gammell, TD Barfoot, SS Srinivasa
The International Journal of Robotics Research 39 (5), 543-567, 2020
1212020
Regionally Accelerated Batch Informed Trees (RABIT*): A framework to integrate local information into optimal path planning
S Choudhury, JD Gammell, TD Barfoot, SS Srinivasa, S Scherer
2016 IEEE International Conference on Robotics and Automation (ICRA), 4207-4214, 2016
1132016
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics
MP Strub, JD Gammell
2020 IEEE International Conference on Robotics and Automation (ICRA), 3191-3198, 2020
772020
Asymptotically Optimal Sampling-Based Motion Planning Methods
JD Gammell, MP Strub
Annual Review of Control, Robotics, and Autonomous Systems 4 (1), 295-318, 2021
702021
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques
MP Strub, JD Gammell
2020 IEEE International Conference on Robotics and Automation (ICRA), 130-136, 2020
672020
Multimotion Visual Odometry (MVO): Simultaneous estimation of camera and third-party motions
KM Judd, JD Gammell, P Newman
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
482018
Into darkness: Visual navigation based on a lidar-intensity-image pipeline
TD Barfoot, C McManus, S Anderson, H Dong, E Beerepoot, CH Tong, ...
Robotics Research: The 16th International Symposium ISRR, 487-504, 2016
392016
Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning
MP Strub, JD Gammell
The International Journal of Robotics Research 41 (4), 390-417, 2022
332022
Surface Edge Explorer (SEE): Planning next best views directly from 3D observations
R Border, JD Gammell, P Newman
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018
322018
The Oxford multimotion dataset: Multiple SE(3) motions with ground truth
KM Judd, JD Gammell
IEEE Robotics and Automation Letters 4 (2), 800-807, 2019
302019
A Mission Control Architecture for robotic lunar sample return as field tested in an analogue deployment to the sudbury impact structure
JE Moores, R Francis, M Mader, GR Osinski, T Barfoot, N Barry, G Basic, ...
Advances in space research 50 (12), 1666-1686, 2012
192012
Rover odometry aided by a star tracker
JD Gammell, CH Tong, P Berczi, S Anderson, TD Barfoot, J Enright
2013 IEEE Aerospace Conference, 1-10, 2013
162013
Proactive estimation of occlusions and scene coverage for planning next best views in an unstructured representation
R Border, J Gammell
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
142020
Navigation on the line: traversability analysis and path planning for extreme-terrain rappelling rovers
M Paton, M Strub, T Brown, R Greene, J Lizewski, V Patel, J Gammell, ...
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
142020
Task and motion informed trees (TMIT*): Almost-surely asymptotically optimal integrated task and motion planning
W Thomason, MP Strub, JD Gammell
IEEE Robotics and Automation Letters 7 (4), 11370-11377, 2022
122022
Informed anytime search for continuous planning problems
JD Gammell
University of Toronto, 2017
122017
3D surface mapping using a semiautonomous rover: A planetary analog field experiment
RS Merali, C Tong, J Gammell, J Bakambu, E Dupuis, TD Barfoot
Proc. of the 2012 Int. Symposium on Artificial Intelligence, Robotics and …, 2012
122012
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