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cs.RO2025
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Shaopeng Zhai, Qi Zhang, Tianyi Zhang +7
Robotic real-world reinforcement learning (RL) with vision-language-action (VLA) models is bottlenecked by sparse, handcrafted rewards and inefficient exploration. We introduce VLA…
cs.RO2025
From Motion to Behavior: Hierarchical Modeling of Humanoid Generative Behavior Control
Jusheng Zhang, Jinzhou Tang, Sidi Liu +4
Human motion generative modeling or synthesis aims to characterize complicated human motions of daily activities in diverse real-world environments. However, current research predo…
cs.RO2025
Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation
Yuan Meng, Xiangtong Yao, Haihui Ye +6
Embodied long-horizon manipulation requires robotic systems to process multimodal inputs-such as vision and natural language-and translate them into executable actions. However, ex…