J. Gammell

Most-cited papers

Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic
J. Gammell, S. Srinivasa, T. Barfoot
20142014 IEEE/RSJ International Conference on Intelligent Robots and Systems1,181 citations Open access
Semantic Scholar
Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs
J. Gammell, S. Srinivasa, T. Barfoot
2014IEEE International Conference on Robotics and Automation577 citations Open access
Semantic Scholar
Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search
J. Gammell, T. Barfoot, S. Srinivasa
2017Int. J. Robotics Res.258 citations Open access
Semantic Scholar
Informed Sampling for Asymptotically Optimal Path Planning
J. Gammell, T. Barfoot, S. Srinivasa
2017IEEE Transactions on robotics245 citations Open access
Semantic Scholar
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics
Marlin P. Strub, J. Gammell
2020IEEE International Conference on Robotics and Automation143 citations Open access
Semantic Scholar
Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning
Sanjiban Choudhury, J. Gammell, T. Barfoot, S. Srinivasa +1 more
2016IEEE International Conference on Robotics and Automation113 citations
Semantic Scholar
Asymptotically Optimal Sampling-Based Motion Planning Methods
J. Gammell, Marlin P. Strub
2020Annu. Rev. Control. Robotics Auton. Syst.106 citations Open access
Semantic Scholar
Adaptively Informed Trees (AIT*) and Effort Informed Trees (EIT*): Asymmetric bidirectional sampling-based path planning
Marlin P. Strub, J. Gammell
2021Int. J. Robotics Res.104 citations Open access
Semantic Scholar
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques
Marlin P. Strub, J. Gammell
2020IEEE International Conference on Robotics and Automation102 citations Open access
Semantic Scholar
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
Kevin M. Judd, J. Gammell, P. Newman
2018IEEE/RJS International Conference on Intelligent RObots and Systems53 citations Open access
Semantic Scholar
Informed RRT*: Optimal Incremental Path Planning Focused through an Admissible Ellipsoidal Heuristic
J. Gammell, S. Srinivasa, T. Barfoot
2014arXiv.org52 citations
Semantic Scholar
The Oxford Multimotion Dataset: Multiple SE(3) Motions With Ground Truth
Kevin M. Judd, J. Gammell
2019IEEE Robotics and Automation Letters46 citations Open access
Semantic Scholar
BIT*: Batch Informed Trees for Optimal Sampling-based Planning via Dynamic Programming on Implicit Random Geometric Graphs
J. Gammell, S. Srinivasa, T. Barfoot
2014arXiv.org44 citations
Semantic Scholar
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations
Rowan Border, J. Gammell, P. Newman
2018IEEE International Conference on Robotics and Automation41 citations Open access
Semantic Scholar
Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline
T. Barfoot, C. McManus, Sean R. Anderson, Hang Dong +5 more
2013International Symposium of Robotics Research41 citations Open access
Semantic Scholar
The surface edge explorer (SEE): A measurement-direct approach to next best view planning
Rowan Border, J. Gammell
2022Int. J. Robotics Res.31 citations Open access
Semantic Scholar
Task and Motion Informed Trees (TMIT*): Almost-Surely Asymptotically Optimal Integrated Task and Motion Planning
Wil Thomason, Marlin P. Strub, J. Gammell
2022IEEE Robotics and Automation Letters28 citations Open access
Semantic Scholar
Navigation on the Line: Traversability Analysis and Path Planning for Extreme-Terrain Rappelling Rovers
M. Paton, Marlin P. Strub, T. Brown, R. Greene +4 more
2020IEEE/RJS International Conference on Intelligent RObots and Systems25 citations
Semantic Scholar
Event-Based Stereo Visual Odometry With Native Temporal Resolution via Continuous-Time Gaussian Process Regression
Jia-Neng Wang, J. Gammell
2023IEEE Robotics and Automation Letters20 citations Open access
Semantic Scholar
Planner Developer Tools (PDT): Reproducible Experiments and Statistical Analysis for Developing and Testing Motion Planners
J. Gammell, Marlin P. Strub, V. Hartmann
202220 citations
Semantic Scholar
Proactive Estimation of Occlusions and Scene Coverage for Planning Next Best Views in an Unstructured Representation
Rowan Border, J. Gammell
2020IEEE/RJS International Conference on Intelligent RObots and Systems20 citations Open access
Semantic Scholar
AORRTC: Almost-Surely Asymptotically Optimal Planning With RRT-Connect
Tyler S. Wilson, Wil Thomason, Zachary Kingston, J. Gammell
2025IEEE Robotics and Automation Letters17 citations Open access
Semantic Scholar
Multimotion visual odometry
Kevin M. Judd, J. Gammell
2021The international journal of robotics research15 citations Open access
Semantic Scholar
Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*)
Tyler S. Wilson, Wil Thomason, Zachary Kingston, Lydia E. Kavraki +1 more
2024IEEE International Conference on Robotics and Automation14 citations Open access
Semantic Scholar
Effort Informed Roadmaps (EIRM*): Efficient Asymptotically Optimal Multiquery Planning by Actively Reusing Validation Effort
V. Hartmann, Marlin P. Strub, Marc Toussaint, J. Gammell
2022International Symposium of Robotics Research14 citations Open access
Semantic Scholar
The Probability Density Function of a Transformation-based Hyperellipsoid Sampling Technique
J. Gammell, T. Barfoot
201412 citations
Semantic Scholar
Osprey: Multisession Autonomous Aerial Mapping With LiDAR-Based SLAM and Next Best View Planning
Rowan Border, Nived Chebrolu, Yifu Tao, J. Gammell +1 more
2023IEEE Transactions on Field Robotics11 citations Open access
Semantic Scholar
Rover odometry aided by a star tracker
J. Gammell, Chi-Hay Tong, Peter Berczi, Sean R. Anderson +2 more
2013IEEE Aerospace Conference11 citations
Semantic Scholar
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure
Kevin M. Judd, J. Gammell
2019IEEE/RJS International Conference on Intelligent RObots and Systems10 citations Open access
Semantic Scholar
Manufacturable MEMS miniSEMs
R. Saini, Z. Jandric, J. Gammell, S. Mentink +1 more
200610 citations
Semantic Scholar
Informed Anytime Search for Continuous Planning Problems
J. Gammell
20179 citations
Semantic Scholar
Planetary surface exploration using a network of reusable paths
B. Stenning, G. Osinski, T. Barfoot, G. Basic +16 more
20128 citations
Semantic Scholar
A Survey of Asymptotically Optimal Sampling-based Motion Planning Methods
J. Gammell, Marlin P. Strub
2020arXiv.org7 citations
Semantic Scholar
On Recursive Random Prolate Hyperspheroids
J. Gammell, S. Srinivasa, Forbes Avenue, T. Barfoot
20146 citations
Semantic Scholar
3D surface mapping using a semi-autonomous rover: A planetary analog field experiment
Rehman S. Merali, Chi-Hay Tong, J. Gammell, Joseph Bakambu +2 more
20126 citations
Semantic Scholar
Informed Asymptotically Optimal Anytime Search
J. Gammell, T. Barfoot, S. Srinivasa
2017arXiv.org4 citations
Semantic Scholar
Application of a robotics path planning algorithm to assess the risk of mobile bearing dislocation in lateral unicompartmental knee replacement
Irene Yang, J. Gammell, D. Murray, S. Mellon
2022Scientific Reports3 citations Open access
Semantic Scholar
Admissible heuristics for obstacle clearance optimization objectives
Marlin P. Strub, J. Gammell
2021arXiv.org3 citations
Semantic Scholar
BIT*: Sampling-based optimal planning via Batch Informed Trees
J. Gammell, S. Srinivasa, T. Barfoot
2014Robotics: Science and Systems Conference3 citations
Semantic Scholar
A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars
Laszlo-Peter Berczi, J. Gammell, Chi-Hay Tong, M. Daly +1 more
20132013 International Conference on Computer and Robot Vision3 citations Open access
Semantic Scholar
Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners
Mitchell E. C. Sabbadini, Andrew H. Liu, Joseph Ruan, Tyler S. Wilson +2 more
2025IEEE International Conference on Robotics and Automation2 citations Open access
Semantic Scholar
The Oxford Domed Lateral Unicompartmental Knee Replacement implant: Increasing wall height reduces the risk of bearing dislocation
Irene Yang, J. Gammell, D. Murray, S. Mellon
2021Proceedings of the Institution of mechanical engineers. Part H, journal of engineering in medicine2 citations Open access
Semantic Scholar
The Oxford Domed Lateral Implant: Increasing tibial component wall height reduces the risk of medial dislocation of the mobile bearing
Irene Yang, J. Gammell, D. Murray, S. Mellon
20212 citations
Semantic Scholar
Using a robotics path planning algorithm to assess the risk of mobile bearing dislocation in lateral unicompartmental knee replacement.
Irene Yang, J. Gammell, D. Murray, S. Mellon
20202 citations Open access
Semantic Scholar
Inferring Surface Geometry from Point Clouds for Next Best View Planning
Rowan Border, J. Gammell, P. Newman
20172 citations
Semantic Scholar
Blinded by the Light: Exploiting the Deficiencies of a Laser Rangefinder for Rover Attitude Estimation
J. Gammell, Chi-Hay Tong, T. Barfoot
20132013 International Conference on Computer and Robot Vision2 citations Open access
Semantic Scholar
Image-analysis and the characterization of the texture of paper
J. Arney, J. Morris, J. Gammell
19922 citations
Semantic Scholar
Autonomous Aerial Mapping and its Applications for Emergency Response
Rowan Border, J. Gammell
20222022 Workshop on Cyber Physical Systems for Emergency Response (CPS-ER)1 citations Open access
Semantic Scholar
SE(3) multimotion estimation through occlusion
Kevin M. Judd, J. Gammell
2019IEEE International Conference on Robotics and Automation1 citations
Semantic Scholar
Visual Multimotion Estimation
Kevin M. Judd, J. Gammell, P. Newman
20181 citations
Semantic Scholar