3 papers
cs.RO2025
Empart: Interactive Convex Decomposition for Converting Meshes to Parts
Brandon Vu, Shameek Ganguly, Pushkar Joshi
Simplifying complex 3D meshes is a crucial step in robotics applications to enable efficient motion planning and physics simulation. Common methods, such as approximate convex deco…
cs.RO2025
Mobi-: Mobilizing Your Robot Learning Policy
Jingyun Yang, Isabella Huang, Brandon Vu +3
Learned visuomotor policies are capable of performing increasingly complex manipulation tasks. However, most of these policies are trained on data collected from limited robot posi…
cs.RO2024
COAST: Constraints and Streams for Task and Motion Planning
Brandon Vu, Toki Migimatsu, Jeannette Bohg
Task and Motion Planning (TAMP) algorithms solve long-horizon robotics tasks by integrating task planning with motion planning; the task planner proposes a sequence of actions towa…