Portrait of Samuel Triest
PhD Student
Advisor: Sebastian Scherer
Associated Center: FRC
Lab: AirLab
Mailing Address
Displaying 3 Publications

2023
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
Mateo Guaman Castro, Samuel Triest, Wenshan Wang, Jason M. Gregory, Felix Sanchez, John G. Rogers III, and Sebastian Scherer
Conference Paper, Proceedings of (ICRA) International Conference on Robotics and Automation, May, 2023
Learning Models and Cost Functions from Unlabeled Data for Off-Road Navigation
Samuel Triest
Master's Thesis, Tech. Report, CMU-RI-TR-23-07, April, 2023
2020
Learning Highway Ramp Merging Via Reinforcement Learning with Temporally-Extended Actions
Samuel Triest, Adam Villaflor, and John M. Dolan
Conference Paper, Proceedings of IEEE Intelligent Vehicles Symposium (IV '20), pp. 1595 - 1600, October, 2020