Kartik Sachdev

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

Learning generalizable robot manipulation policies, especially for complex multi-fingered humanoids, remains a significant challenge. Existing approaches primarily rely on extensive data collection and imitation learning, which are expensive, labor-intensive, and difficult to scale. Sim-to-real rein…