Jonathan D. Gammell

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 35

Top Topics

Temporal Resolution

Gaussian Process

Asymptotically Optimal

Top Venues

IEEE Robotics Autom. Lett.

Publications

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) (2023)
Jianeng Wang, Jonathan D. Gammell
Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression. CoRR (2023)
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 (2023)
Wil Thomason, Marlin P. Strub, Jonathan D. Gammell
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning. CoRR (2022)
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 (2022)
Rowan Border, Jonathan D. Gammell
The Surface Edge Explorer (SEE): A measurement-direct approach to next best view planning. CoRR (2022)
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)
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) (2022)
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) (2022)
Jonathan D. Gammell, Marlin P. Strub
Asymptotically Optimal Sampling-Based Motion Planning Methods. Annu. Rev. Control. Robotics Auton. Syst. 4 (2021)
Marlin P. Strub, Jonathan D. Gammell
Admissible heuristics for obstacle clearance optimization objectives. CoRR (2021)
Marlin P. Strub, Jonathan D. Gammell
AIT* and EIT*: Asymmetric bidirectional sampling-based path planning. CoRR (2021)
Kevin M. Judd, Jonathan D. Gammell
Multimotion Visual Odometry (MVO). CoRR (2021)
Kevin M. Judd, Jonathan D. Gammell
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. IROS (2020)
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)
Marlin P. Strub, Jonathan D. Gammell
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. ICRA (2020)
Marlin P. Strub, Jonathan D. Gammell
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. CoRR (2020)
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)
Rowan Border, Jonathan D. Gammell
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. CoRR (2020)
Rowan Border, Jonathan D. Gammell
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. IROS (2020)
Jonathan D. Gammell, Marlin P. Strub
A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods. CoRR (2020)
Marlin P. Strub, Jonathan D. Gammell
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. CoRR (2020)
Marlin P. Strub, Jonathan D. Gammell
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. ICRA (2020)
Kevin M. Judd, Jonathan D. Gammell
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. CoRR (2019)
Kevin Michael Judd, Jonathan D. Gammell
The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth. IEEE Robotics Autom. Lett. 4 (2) (2019)
Kevin M. Judd, Jonathan D. Gammell
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth. CoRR (2019)
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. CoRR (2018)
Rowan Border, Jonathan D. Gammell, Paul Newman
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations. ICRA (2018)
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. IROS (2018)
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
Informed Sampling for Asymptotically Optimal Path Planning. IEEE Trans. Robotics 34 (4) (2018)
Rowan Border, Jonathan D. Gammell, Paul Newman
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations. CoRR (2018)
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
Informed Sampling for Asymptotically Optimal Path Planning. CoRR (2017)
Jonathan D. Gammell, Timothy D. Barfoot, Siddhartha S. Srinivasa
Informed Asymptotically Optimal Anytime Search. CoRR (2017)
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)
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)
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 (2014)
Jonathan D. Gammell, Siddhartha S. Srinivasa, Timothy D. Barfoot
Informed RRT*: Optimal Incremental Path Planning Focused through an Admissible Ellipsoidal Heuristic. CoRR (2014)
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)
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)
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)
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)