12 papers
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…
PAct: Part-Decomposed Single-View Articulated Object Generation
Qingming Liu, Xinyue Yao, Shuyuan Zhang +4
Articulated objects are central to interactive 3D applications, including embodied AI, robotics, and VR/AR, where functional part decomposition and kinematic motion are essential.…
CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding
Yi-Lin Wei, Haoran Liao, Yuhao Lin +4
In this paper, we explore an important yet underexplored task in robot manipulation: cycle-based manipulation, where robots need to perform cyclic or repetitive actions with an exp…
Toward Humanoid Brain-Body Co-design: Joint Optimization of Control and Morphology for Fall Recovery
Bo Yue, Sheng Xu, Kui Jia +1
Humanoid robots represent a central frontier in embodied intelligence, as their anthropomorphic form enables natural deployment in humans' workspace. Brain-body co-design for human…
Toward Physical Recursive Self-Improvement: A Call for Body-Control Co-Design for Humanoid Robot
Guiliang Liu, Bo Yue, Yi Jin Kim +1
Humanoid robots, as general-purpose physical agents, must integrate both intelligent control and adaptive morphology to operate effectively in diverse real-world environments. Whil…
Real-Time Verification of Embodied Reasoning for Generative Skill Acquisition
Bo Yue, Shuqi Guo, Kaiyu Hu +4
Generative skill acquisition enables embodied agents to actively learn a scalable and evolving repertoire of control skills, crucial for the advancement of large decision models. W…
SignBot: Learning Human-to-Humanoid Sign Language Interaction
Guanren Qiao, Sixu Lin, Ronglai Zuo +3
Sign language is a natural and visual form of language that uses movements and expressions to convey meaning, serving as a crucial means of communication for individuals who are de…
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan, Jiabao Lei, Wenhao Yuan +4
Differentiable rendering has gained significant attention in the field of robotics, with differentiable robot rendering emerging as an effective paradigm for learning robotic actio…
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…
HWC-Loco: A Hierarchical Whole-Body Control Approach to Robust Humanoid Locomotion
Sixu Lin, Guanren Qiao, Yunxin Tai +3
Humanoid robots, capable of assuming human roles in various workplaces, have become essential to embodied intelligence. However, as robots with complex physical structures, learnin…
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…
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
Nan Fang, Guiliang Liu, Wei Gong
Reinforcement Learning (RL) applied in healthcare can lead to unsafe medical decisions and treatment, such as excessive dosages or abrupt changes, often due to agents overlooking c…