Troy McMahon

According to our database, Troy McMahon authored at least 11 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

A Survey on the Integration of Machine Learning with Sampling-based Motion Planning.

Troy McMahon, Aravind Sivaramakrishnan, Edgar Granados, Kostas E. Bekris

Found. Trends Robotics, 2022

Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation.

Seth Karten, Aravind Sivaramakrishnan, Edgar Granados, Troy McMahon, Kostas E. Bekris

CoRR, 2022

Terrain-Aware Learned Controllers for Sampling-Based Kinodynamic Planning over Physically Simulated Terrains.

Troy McMahon, Aravind Sivaramakrishnan, Kushal Kedia, Edgar Granados, Kostas E. Bekris

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers.

Aravind Sivaramakrishnan, Edgar Granados, Seth Karten, Troy McMahon, Kostas E. Bekris

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2018

Sampling-based motion planning with reachable volumes for high-degree-of-freedom manipulators.

Troy McMahon, Shawna L. Thomas, Nancy M. Amato

Int. J. Robotics Res., 2018

Affordance Wayfields for Task and Motion Planning.

Troy McMahon, Odest Chadwicke Jenkins, Nancy M. Amato

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Manipulation planning with directed reachable volumes.

Troy McMahon, Read Sandström, Shawna L. Thomas, Nancy M. Amato

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2015

Reachable volume RRT.

Troy McMahon, Shawna L. Thomas, Nancy M. Amato

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Sampling based motion planning with reachable volumes: Application to manipulators and closed chain systems.

Troy McMahon, Shawna L. Thomas, Nancy M. Amato

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Sampling-based motion planning with reachable volumes: Theoretical foundations.

Troy McMahon, Shawna L. Thomas, Nancy M. Amato

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2012

Local randomization in neighbor selection improves PRM roadmap quality.

Troy McMahon, Sam Ade Jacobs, Bryan Boyd, Lydia Tapia, Nancy M. Amato

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012