A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars. - Laszlo-Peter Berczi; Jonathan D. Gammell; Chi Hay Tong; Michael Daly; Timothy D. Barfoot (CRV, 2013)

Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation. - Jonathan D. Gammell; Chi Hay Tong; Timothy D. Barfoot (CRV, 2013)

Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline. - Timothy D. Barfoot; Colin McManus; Sean Anderson; Hang Dong; Erik Beerepoot; Chi Hay Tong; Paul Furgale; Jonathan D. Gammell; John Enright (ISRR, 2013)

Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic. - Jonathan D. Gammell; Siddhartha S. Srinivasa; Timothy D. Barfoot (IROS, 2014)

Informed RRT*: Optimal Incremental Path Planning Focused through an Admissible Ellipsoidal Heuristic. - Jonathan D. Gammell; Siddhartha S. Srinivasa; Timothy D. Barfoot (CoRR, 2014)

BIT*: Batch Informed Trees for Optimal Sampling-based Planning via Dynamic Programming on Implicit Random Geometric Graphs. - Jonathan D. Gammell; Siddhartha S. Srinivasa; Timothy D. Barfoot (CoRR, 2014)

Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs. - Jonathan D. Gammell; Siddhartha S. Srinivasa; Timothy D. Barfoot (ICRA, 2015)

Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning. - Sanjiban Choudhury; Jonathan D. Gammell; Timothy D. Barfoot; Siddhartha S. Srinivasa; Sebastian A. Scherer (ICRA, 2016)

Informed Asymptotically Optimal Anytime Search. - Jonathan D. Gammell; Timothy D. Barfoot; Siddhartha S. Srinivasa (CoRR, 2017)

Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations. - Rowan Border; Jonathan D. Gammell; Paul Newman 001 (ICRA, 2018)

Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. - Kevin M. Judd; Jonathan D. Gammell; Paul Newman 001 (IROS, 2018)

Informed Sampling for Asymptotically Optimal Path Planning. - Jonathan D. Gammell; Timothy D. Barfoot; Siddhartha S. Srinivasa (IEEE Trans. Robotics, 2018)

The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth. - Kevin Michael Judd; Jonathan D. Gammell (IEEE Robotics Autom. Lett., 2019)

Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques. - Marlin P. Strub; Jonathan D. Gammell (ICRA, 2020)

Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics. - Marlin P. Strub; Jonathan D. Gammell (ICRA, 2020)

Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation. - Rowan Border; Jonathan D. Gammell (IROS, 2020)

Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure. - Kevin M. Judd; Jonathan D. Gammell (IROS, 2020)

Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers. - Michael Paton; Marlin P. Strub; Travis Brown; Rebecca J. Greene; Jacob Lizewski; Vandan Patel; Jonathan D. Gammell; Issa A. D. Nesnas (IROS, 2020)

A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods. - Jonathan D. Gammell; Marlin P. Strub (CoRR, 2020)

Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search. - Jonathan D. Gammell; Timothy D. Barfoot; Siddhartha S. Srinivasa (Int. J. Robotics Res., 2020)

Asymptotically Optimal Sampling-Based Motion Planning Methods. - Jonathan D. Gammell; Marlin P. Strub (Annu. Rev. Control. Robotics Auton. Syst., 2021)

Admissible heuristics for obstacle clearance optimization objectives. - Marlin P. Strub; Jonathan D. Gammell (CoRR, 2021)

Multimotion Visual Odometry (MVO). - Kevin M. Judd; Jonathan D. Gammell (CoRR, 2021)

AIT* and EIT*: Asymmetric bidirectional sampling-based path planning. - Marlin P. Strub; Jonathan D. Gammell (CoRR, 2021)

Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort. - Valentin N. Hartmann; Marlin P. Strub; Marc Toussaint; Jonathan D. Gammell (ISRR, 2022)

Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning. - Marlin P. Strub; Jonathan D. Gammell (Int. J. Robotics Res., 2022)

Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning. - Wil Thomason; Marlin P. Strub; Jonathan D. Gammell (IEEE Robotics Autom. Lett., 2022)

Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression. - Jianeng Wang; Jonathan D. Gammell (CoRR, 2023)

Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning. - Rowan Border; Nived Chebrolu; Yifu Tao; Jonathan D. Gammell; Maurice F. Fallon (CoRR, 2023)

Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression. - Jianeng Wang; Jonathan D. Gammell (IEEE Robotics Autom. Lett., 2023)

Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*). - Tyler S. Wilson; Wil Thomason; Zachary Kingston; Lydia E. Kavraki; Jonathan D. Gammell (CoRR, 2024)

The surface edge explorer (SEE): A measurement-direct approach to next best view planning. - Rowan Border; Jonathan D. Gammell (Int. J. Robotics Res., 2024)

AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect. - Tyler S. Wilson; Wil Thomason; Zachary Kingston; Jonathan D. Gammell (CoRR, 2025)