MAE 242
Robot Motion Planning
Modeling, solving, and analyzing planning problems for single robots or agents. Configuration space for motion planning, sampling-based motion planning, combinatorial motion planning, feedback motion planning, differential models, and nonholonomic constraints. Basic decision-theory and dynamic programming, sensor, and information spaces. Prerequisites: graduate standing.
Sources
- Course catalogue ↗2026-2027