2 papers
cs.RO2026
Efficient Sim-to-Real Transfer of World-Action Models from Synthetic Priors
Zixing Wang, Kausik Sivakumar, Jinghuan Shang +5
Bridging the sim-to-real gap is a core challenge in deploying learned manipulation policies. Sim-to-real learning is attractive because it can replace expensive real robot demonstr…
cs.GR2024
PDP: Physics-Based Character Animation via Diffusion Policy
Takara E. Truong, Michael Piseno, Zhaoming Xie +1
Generating diverse and realistic human motion that can physically interact with an environment remains a challenging research area in character animation. Meanwhile, diffusion-base…