arXiv Machine Learning By Yuhan Liu, Xinyu Zhang, Litao Liu, Abdeslam Boularias

Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models

Read the original on arXiv Machine Learning →

arXiv:2607. 16506v1 Announce Type: cross Abstract: Vision-Language-Action (VLA) policies offer strong general-purpose manipulation priors, but often fail on tight-tolerance, contact-rich assembly due to long-horizon credit assignment and subtask coupling: a state that is geometrically successful for the current skill can be brittle for downstream skills.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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