2 papers
cs.RO2026
Amortising Trajectory Optimisation for Residual MPC via Implicit Contact Differentiation
Daniel Layeghi, Thomas Corbères, Calum Arnott +4
Differentiable simulation can accelerate contact-rich trajectory optimisation by exposing local sensitivities of task outcomes to controls. Existing approaches either use finite di…
cs.RO2025
Learning Long-Horizon Robot Manipulation Skills via Privileged Action
Xiaofeng Mao, Yucheng Xu, Zhaole Sun +3
Long-horizon contact-rich tasks are challenging to learn with reinforcement learning, due to ineffective exploration of high-dimensional state spaces with sparse rewards. The learn…