2 papers
cs.RO2026
ReForce: Learning Force-aware Retargeting for Dexterous Manipulation
Yuhang Wu, Lingqi Zeng, Changwei Jing +2
Human demonstrations offer a scalable data source for dexterous manipulation, but transferring them to robot actions remains challenging due to the embodiment gap. Today's retarget…
stat.ML2026
Identifying parameter couplings and uncertainties of mixed-noise stochastic systems via full-covariance Gaussian mixture network
Xiaolong Wang, Xiangwen Hao, Jing Feng +2
Parameter identification of stochastic dynamical systems driven by mixed noises is challenging due to intractable likelihood functions. We propose PENN-GMD, a parameter estimation…