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Jonathan Gammell
Jonathan Gammell
Adjunct Fellow, Oxford Robotics Institute, University of Oxford
Bekræftet mail på robots.ox.ac.uk - Startside
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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
7442014
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
4482015
Informed sampling for asymptotically optimal path planning
JD Gammell, TD Barfoot, SS Srinivasa
IEEE Transactions on Robotics 34 (4), 966-984, 2018
1052018
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
962016
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
692020
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
472020
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
402018
Asymptotically Optimal Sampling-Based Motion Planning Methods
JD Gammell, MP Strub
Annual Review of Control, Robotics, and Autonomous Systems 4 (1), 295-318, 2021
382021
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
382020
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
342016
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
262018
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
242019
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
Informed anytime search for continuous planning problems
JD Gammell
University of Toronto, 2017
122017
Manufacturable MEMS MiniSEMs
R Saini, Z Jandric, J Gammell, SAM Mentink, D Tuggle
Microelectronic engineering 83 (4-9), 1376-1381, 2006
122006
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
102022
Planetary Surface Exploration Using a Network of Reusable Paths
B Stenning, GR Osinski, T Barfoot, G Basic, M Beauchamp, M Daly, ...
Lunar and Planetary Institute Science Conference Abstracts 43, 2360, 2012
9*2012
The probability density function of a transformation-based hyperellipsoid sampling technique
JD Gammell, TD Barfoot
arXiv preprint arXiv:1404.1347, 2014
82014
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
82012
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Artikler 1–20