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Troy McMahon
Troy McMahon
University of Michigan
在 tamu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
342014
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
262022
Reachable volume RRT
T McMahon, S Thomas, NM Amato
2015 IEEE International Conference on Robotics and Automation (ICRA), 2977-2984, 2015
212015
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
212014
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
182011
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
162018
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
162012
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
122022
Sampling based motion planning with reachable volumes
TA McMahon
122016
Affordance wayfields for task and motion planning
T McMahon, OC Jenkins, N Amato
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
102018
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
92017
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
82021
Roadmap-based group behaviors: Generation and evaluation
S Rodríguez, R Salazar, T McMahon, NM Amato
Technical report: Parasol Lab, Computer Science, 2007
62007
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
52022
Motion planning with reachable volumes
T McMahon, S Thomas, NM Amato
Technical Report 13–001, Parasol Lab, Department of Computer Science, Texas …, 2013
52013
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
22022
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
12023
Spatial correlations in geographical spreading of COVID-19 in USA
T McMahon, A Chan, S Havlin, LK Gallos
arXiv preprint arXiv:2106.13960, 2021
12021
Statement of Research Interests
T McMahon
2018
Motion Planning for High Degree of Freedom Problems and Constrained Systems
T McMahon
2015
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