| Sampling-based motion planning with reachable volumes: Theoretical foundations T McMahon, S Thomas, NM Amato 2014 IEEE International Conference on Robotics and Automation (ICRA), 6514-6521, 2014 | 34 | 2014 |
| Spatial correlations in geographical spreading of COVID-19 in the United States T McMahon, A Chan, S Havlin, LK Gallos Scientific reports 12 (1), 699, 2022 | 26 | 2022 |
| Reachable volume RRT T McMahon, S Thomas, NM Amato 2015 IEEE International Conference on Robotics and Automation (ICRA), 2977-2984, 2015 | 21 | 2015 |
| Sampling based motion planning with reachable volumes: Application to manipulators and closed chain systems T McMahon, S Thomas, NM Amato 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 21 | 2014 |
| Evaluation of the k-closest neighbor selection strategy for prm construction T McMahon, S Jacobs, B Boyd, L Tapia, N Amato Technical Report TR12-002, Texas A&M, College Station Tx., 2011 | 18 | 2011 |
| Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators T McMahon, S Thomas, NM Amato The International Journal of Robotics Research 37 (7), 779-817, 2018 | 16 | 2018 |
| Local randomization in neighbor selection improves PRM roadmap quality T McMahon, S Jacobs, B Boyd, L Tapia, NM Amato 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 16 | 2012 |
| A survey on the integration of machine learning with sampling-based motion planning T McMahon, A Sivaramakrishnan, E Granados, KE Bekris Foundations and Trends® in Robotics 9 (4), 266-327, 2022 | 12 | 2022 |
| Sampling based motion planning with reachable volumes TA McMahon | 12 | 2016 |
| Affordance wayfields for task and motion planning T McMahon, OC Jenkins, N Amato 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 10 | 2018 |
| Manipulation planning with directed reachable volumes T McMahon, R Sandström, S Thomas, NM Amato 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 9 | 2017 |
| Improving kinodynamic planners for vehicular navigation with learned goal-reaching controllers A Sivaramakrishnan, E Granados, S Karten, T McMahon, KE Bekris 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 8 | 2021 |
| Roadmap-based group behaviors: Generation and evaluation S Rodríguez, R Salazar, T McMahon, NM Amato Technical report: Parasol Lab, Computer Science, 2007 | 6 | 2007 |
| Terrain-aware learned controllers for sampling-based kinodynamic planning over physically simulated terrains T McMahon, A Sivaramakrishnan, K Kedia, E Granados, KE Bekris 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 5 | 2022 |
| Motion planning with reachable volumes T McMahon, S Thomas, NM Amato Technical Report 13–001, Parasol Lab, Department of Computer Science, Texas …, 2013 | 5 | 2013 |
| Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation S Karten, A Sivaramakrishnan, E Granados, T McMahon, KE Bekris arXiv preprint arXiv:2201.02254, 2022 | 2 | 2022 |
| Effect of cities and distance on COVID-19 spreading in the United States T McMahon, S Havlin, LK Gallos Physical Review E 107 (3), 034302, 2023 | 1 | 2023 |
| Spatial correlations in geographical spreading of COVID-19 in USA T McMahon, A Chan, S Havlin, LK Gallos arXiv preprint arXiv:2106.13960, 2021 | 1 | 2021 |
| Statement of Research Interests T McMahon | | 2018 |
| Motion Planning for High Degree of Freedom Problems and Constrained Systems T McMahon | | 2015 |
