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Jonathan Gammell
Jonathan Gammell
Assistant Professor, Queen's University
queensu.ca üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
13402014
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
6292015
Informed sampling for asymptotically optimal path planning
JD Gammell, TD Barfoot, SS Srinivasa
IEEE Transactions on Robotics 34 (4), 966-984, 2018
2102018
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
1922020
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
1342016
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
1152020
Asymptotically Optimal Sampling-Based Motion Planning Methods
JD Gammell, MP Strub
Annual Review of Control, Robotics, and Autonomous Systems 4 (1), 295-318, 2021
1062021
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
1012020
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
582018
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
572022
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
462016
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
442019
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
412018
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
252022
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
232020
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
212013
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
192020
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
Informed anytime search for continuous planning problems
JD Gammell
University of Toronto, 2017
142017
Manufacturable MEMS MiniSEMs
R Saini, Z Jandric, J Gammell, SAM Mentink, D Tuggle
Microelectronic engineering 83 (4-9), 1376-1381, 2006
132006
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