3 papers
cs.RO2026
Automatically Improving Simulation Physics for Articulated Objects
Anh-Quan Pham
Simulation is a central tool for scalable robot learning, but its effectiveness depends on the quality of object assets. While modern 3D datasets provide rich geometric and kinemat…
cs.RO2026
Iterative Compositional Data Generation for Robot Control
Anh-Quan Pham, Marcel Hussing, Shubhankar P. Patankar +3
Collecting robotic manipulation data is expensive, making it impractical to acquire demonstrations for the combinatorially large space of tasks that arise in multi-object, multi-ro…
cs.RO2026
SBAMP: Sampling Based Adaptive Motion Planning
Shreyas Raorane, Kabir Ram Puri, Anh-Quan Pham
Autonomous robots operating in dynamic environments must balance global path optimality with real-time responsiveness to disturbances. This requires addressing a fundamental trade-…