Yifan Chen

Imagined failures in a world model can pinpoint exactly which robot skill components need new demonstrations, boosting success from 13% to 75% with minimal data.

Achieving a 50x speedup in Bayesian imaging sampling without sacrificing quality could revolutionize real-time imaging applications.

RRTrack achieves a 66.3% improvement in pose tracking accuracy, even in scenarios of complete occlusion and rapid motion.