Before deploying runtime recovery for a frozen vision-language-action (VLA) policy, one must establish that an intervention improves success beyond ordinary run-to-run variation and that its complexity adds value over a simple action. We evaluate these questions on frozen $\pi_{0.5}$ across four RoboTwin tasks. For eac...
Chen-Chao Sheng, Zhuang Jiang, Liu Yang et al.· 0 citations
Reinforcement Learning (RL)-based post-training has become a key mechanism for improving reasoning Large Language Models (LLMs), especially when automated verifiers enable Reinforcement Learning with Verifiable Reward (RLVR). Recent methods, however, are increasingly modular: many apparent algorithmic advances recombin...
Liu Yang, Han Zhu, Zheng-Yang Zhong et al.· International Conference on...· 2 citations
A robotics-oriented review of ADP for two representative platforms, namely robotic manipulators and Mobile Wheeled Robots, and compares studies employing typical ADP structures, approaches to robustness guarantees, hardware validation, and practical deployment limitations.
Chi-Pui Chan, Ning-Wei Bai, Qichen Yin et al.· 0 citations
WAM-OPD, a deployment-consistent post-training recipe for a video-first WAM, is introduced and it is suggested that dense teacher supervision on student-induced histories is a promising post-training interface for video-first WAMs.
Liu Yang, Zhuang Jiang, Chenchao Sheng et al.· 2 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
