4 papers
Vid2WAM: Distilling Video Diffusion Priors into World Action Models
Chenhao Qiu, Ruixiang Wang, Runyi Zhao +7
World Action Models (WAMs) improve robot policy learning by jointly modeling future visual dynamics and actions. However, their scalability and generalization remain constrained by…
EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
Ruixiang Wang, Qingming Liu, Yueci Deng +3
Video generative models offer a promising basis for robotic planning by predicting future visual rollouts from observations and task instructions. However, their training objective…
GAT-Grasp: Gesture-Driven Affordance Transfer for Task-Aware Robotic Grasping
Ruixiang Wang, Huayi Zhou, Xinyue Yao +2
Achieving precise and generalizable grasping across diverse objects and environments is essential for intelligent and collaborative robotic systems. However, existing approaches of…
You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations
Huayi Zhou, Ruixiang Wang, Yunxin Tai +3
Bimanual robotic manipulation is a long-standing challenge of embodied intelligence due to its characteristics of dual-arm spatial-temporal coordination and high-dimensional action…