Jonathan D. Gammell

48 papers A* 6A 5C 2Journal 33Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A
CoRR
Eric Mugford, Jonathan D. Gammell
2025 J jnl
AORRTC: Almost-Surely Asymptotically Optimal Planning With RRT-Connect.
IEEE Robotics Autom. Lett.
Tyler S. Wilson, Wil Thomason, Zachary Kingston, Jonathan D. Gammell
2025 J jnl
AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect.
CoRR
Tyler S. Wilson, Wil Thomason, Zachary Kingston, Jonathan D. Gammell
2025 A* conf
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*).
ICRA
Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Jonathan D. Gammell
2025 J jnl
Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners.
CoRR
Mitchell E. C. Sabbadini, Andrew H. Liu, Joseph Ruan, Tyler S. Wilson, Zachary Kingston, Jonathan D. Gammell
2024 J jnl
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*).
CoRR
Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki, Jonathan D. Gammell
2024 J jnl
The surface edge explorer (SEE): A measurement-direct approach to next best view planning.
Int. J. Robotics Res.
Rowan Border, Jonathan D. Gammell
2023 J jnl
Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression.
IEEE Robotics Autom. Lett.
Jianeng Wang, Jonathan D. Gammell
2023 J jnl
Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression.
CoRR
Jianeng Wang, Jonathan D. Gammell
2023 J jnl
Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning.
CoRR
Rowan Border, Nived Chebrolu, Yifu Tao, Jonathan D. Gammell, Maurice F. Fallon
2022 J jnl
Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning.
Int. J. Robotics Res.
Marlin P. Strub, Jonathan D. Gammell
2022 C conf
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort.
ISRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 J jnl
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort.
CoRR
Valentin N. Hartmann, Marlin P. Strub, Marc Toussaint, Jonathan D. Gammell
2022 J jnl
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning.
CoRR
Wil Thomason, Marlin P. Strub, Jonathan D. Gammell
2022 J jnl
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning.
IEEE Robotics Autom. Lett.
Wil Thomason, Marlin P. Strub, Jonathan D. Gammell
2022 J jnl
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning.
CoRR
Rowan Border, Jonathan D. Gammell
2021 J jnl
AIT* and EIT*: Asymmetric bidirectional sampling-based path planning.
CoRR
Marlin P. Strub, Jonathan D. Gammell
2021 J jnl
Admissible heuristics for obstacle clearance optimization objectives.
CoRR
Marlin P. Strub, Jonathan D. Gammell
2021 J jnl
Asymptotically Optimal Sampling-Based Motion Planning Methods.
Annu. Rev. Control. Robotics Auton. Syst.
Jonathan D. Gammell, Marlin P. Strub
2021 J jnl
Multimotion Visual Odometry (MVO).
CoRR
Kevin M. Judd, Jonathan D. Gammell
2020 J jnl
A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods.
CoRR
Jonathan D. Gammell, Marlin P. Strub
2020 A* conf
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics.
ICRA
Marlin P. Strub, Jonathan D. Gammell
2020 J jnl
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics.
CoRR
Marlin P. Strub, Jonathan D. Gammell
2020 A* conf
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques.
ICRA
Marlin P. Strub, Jonathan D. Gammell
2020 J jnl
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques.
CoRR
Marlin P. Strub, Jonathan D. Gammell
2020 J jnl
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search.
Int. J. Robotics Res.
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
2020 A conf
Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers.
IROS
Michael Paton, Marlin P. Strub, Travis Brown, Rebecca J. Greene, Jacob Lizewski, Vandan Patel, Jonathan D. Gammell, Issa A. D. Nesnas
2020 A conf
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure.
IROS
Kevin M. Judd, Jonathan D. Gammell
2020 A conf
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation.
IROS
Rowan Border, Jonathan D. Gammell
2020 J jnl
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation.
CoRR
Rowan Border, Jonathan D. Gammell
2019 J jnl
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure.
CoRR
Kevin M. Judd, Jonathan D. Gammell
2019 J jnl
The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth.
IEEE Robotics Autom. Lett.
Kevin Michael Judd, Jonathan D. Gammell
2019 J jnl
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth.
CoRR
Kevin M. Judd, Jonathan D. Gammell
2018 J jnl
Informed Sampling for Asymptotically Optimal Path Planning.
IEEE Trans. Robotics
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
2018 A conf
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions.
IROS
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
2018 J jnl
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions.
CoRR
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
2018 J jnl
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations.
CoRR
Rowan Border, Jonathan D. Gammell, Paul Newman
2018 A* conf
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations.
ICRA
Rowan Border, Jonathan D. Gammell, Paul Newman
2017 J jnl
Informed Asymptotically Optimal Anytime Search.
CoRR
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
2017 J jnl
Informed Sampling for Asymptotically Optimal Path Planning.
CoRR
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
2016 A* conf
Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning.
ICRA
Sanjiban Choudhury, Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa, Sebastian A. Scherer
2015 A* conf
Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs.
ICRA
Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot
2014 J jnl
BIT*: Batch Informed Trees for Optimal Sampling-based Planning via Dynamic Programming on Implicit Random Geometric Graphs.
CoRR
Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot
2014 J jnl
Informed RRT*: Optimal Incremental Path Planning Focused through an Admissible Ellipsoidal Heuristic.
CoRR
Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot
2014 A conf
Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic.
IROS
Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot
2013 — conf
A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars.
CRV
Laszlo-Peter Berczi, Jonathan D. Gammell, Chi Hay Tong, Michael Daly, Timothy D. Barfoot
2013 — conf
Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation.
CRV
Jonathan D. Gammell, Chi Hay Tong, Timothy D. Barfoot
2013 C conf
Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline.
ISRR
Timothy D. Barfoot, Colin McManus, Sean Anderson, Hang Dong, Erik Beerepoot, Chi Hay Tong, Paul Furgale, Jonathan D. Gammell, John Enright