20 citations · 94 across the 57 of their papers we have counts for
65 papers
Proprioceptive Sketches as Long-Horizon Intent for Generative Action Policies
Fangyuan Wang, Songhao Huang, Haoxiang Sun +5
Generative robot policies predict short action chunks but lack explicit long-horizon intent. Recent methods expose longer-horizon structure through language plans, subgoal images,…
CAMP: Cooperative Arm-Hand Motion Planning in Constrained Spaces
Ziyuan Wang, Yunlong Shan, Fei Mo +6
Coordinated arm-hand motion planning is fundamental to dexterous robotic manipulation in complex and constrained environments. A straightforward solution is to decompose the proble…
Outcome-Sensitive Motion Search for Impact-Aware Dexterous Catching
Guorui Pei, Jinsong Wu, Songyuan Su +5
Skilled humans can catch fast-moving objects softly by coordinating interception, velocity matching, and follow-through to mitigate impact. Learning such impact-aware catching with…
CALM: Current Aligned Link Manipulation for Single Arm Oversized Object Lifting
Jun Hu, Sihan Chen, Kosta Jovanovic +4
Most robots manipulate objects solely with their end effectors, whereas humans flexibly leverage different body parts, such as the forearm and elbow, especially when handling overs…
Phase-and-First-Arrival VLM Feedback for Sparse-Reward Reinforcement Learning in Surgical Manipulation
Wanli Liuchen, Fangyuan Wang, Bin Li +4
Sparse outcome feedback limits what robots can learn from unsuccessful attempts at complex manipulation. Failed multi-stage surgical attempts can contain grasps, lifts, or transfer…
Dressing in Motion: A Human Motion-Aware Diffusion Policy for Robot-Assisted Dressing
Haoxiang Sun, Fangyuan Wang, Songhao Huang +4
Robotic dressing assistance is a promising solution for supporting older adults with physical impairments in daily living. However, dressing under human motion remains challenging,…
Vision-Based Tactile Intelligence for Robotics: Sensing, Learning, and Embodied Manipulation
Peng Zhou, Jun Hu, Sihan Chen +12
Tactile sensing is essential for robots in contact-rich tasks, yet many tactile sensors still provide sparse, low-dimensional signals that do not capture sufficient information for…
World Models for Robotic Manipulation: A Survey
Fangyuan Wang, Ziyuan Wang, Guorui Pei +15
Robotic manipulation depends on the ability to anticipate how actions reshape objects, contacts, and scene geometry before execution. Learned world models provide this capability b…
Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics
Open-H-Embodiment Consortium, :, Nigel Nelson +213
Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…
Think Proprioceptively: State-Grounded Visual Token Selection for VLA Policies
Fangyuan Wang, Peng Zhou, Jiaming Qi +4
Vision-language-action (VLA) models typically inject proprioception only as a late conditioning signal, preventing robot state from grounding instruction understanding or directing…
Failure-Aware Bimanual Teleoperation via Conservative Value Guided Assistance
Peng Zhou, Zhongxuan Li, Jinsong Wu +7
Teleoperation of high-precision manipulation is con-strained by tight success tolerances and complex contact dy-namics, which make impending failures difficult for human operators…
UniBiDex: A Unified Teleoperation Framework for Robotic Bimanual Dexterous Manipulation
Zhongxuan Li, Zeliang Guo, Jun Hu +4
We present UniBiDex a unified teleoperation framework for robotic bimanual dexterous manipulation that supports both VRbased and leaderfollower input modalities UniBiDex enables re…
Phy-Tac: Toward Human-Like Grasping via Physics-Conditioned Tactile Goals
Shipeng Lyu, Lijie Sheng, Fangyuan Wang +5
Humans naturally grasp objects with minimal level required force for stability, whereas robots often rely on rigid, over-squeezing control. To narrow this gap, we propose a human-i…
Prescribed Performance Control of Deformable Object Manipulation in Spatial Latent Space
Ning Han, Gu Gong, Bin Zhang +4
Manipulating three-dimensional (3D) deformable objects presents significant challenges for robotic systems due to their infinite-dimensional state space and complex deformable dyna…
HuBE: Cross-Embodiment Human-like Behavior Execution for Humanoid Robots
Shipeng Lyu, Fangyuan Wang, Weiwei Lin +3
Achieving both behavioral similarity and appropriateness in human-like motion generation for humanoid robot remains an open challenge, further compounded by the lack of cross-embod…
Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation
Fangyuan Wang, Shipeng Lyu, Peng Zhou +3
Enabling humanoid robots to perform long-horizon mobile manipulation planning in real-world environments based on embodied perception and comprehension abilities has been a longsta…
Iterative Shaping of Multi-Particle Aggregates based on Action Trees and VLM
Hoi-Yin Lee, Peng Zhou, Anqing Duan +2
In this paper, we address the problem of manipulating multi-particle aggregates using a bimanual robotic system. Our approach enables the autonomous transport of dispersed particle…
Encircling General 2-D Boundaries by Mobile Robots with Collision Avoidance: A Vector Field Guided Approach
Yuan Tian, Bin Zhang, Xiaodong Shao +1
The ability to automatically encircle boundaries with mobile robots is crucial for tasks such as border tracking and object enclosing. Previous research has primarily focused on re…
Non-Prehensile Tool-Object Manipulation by Integrating LLM-Based Planning and Manoeuvrability-Driven Controls
Hoi-Yin Lee, Peng Zhou, Anqing Duan +3
The ability to wield tools was once considered exclusive to human intelligence, but it's now known that many other animals, like crows, possess this capability. Yet, robotic system…
Revolutionizing Packaging: A Robotic Bagging Pipeline with Constraint-aware Structure-of-Interest Planning
Jiaming Qi, Peng Zhou, Pai Zheng +4
Bagging operations, common in packaging and assisted living applications, are challenging due to a bag's complex deformable properties. To address this, we develop a robotic system…
Interactive Perception for Deformable Object Manipulation
Zehang Weng, Peng Zhou, Hang Yin +4
Interactive perception enables robots to manipulate the environment and objects to bring them into states that benefit the perception process. Deformable objects pose challenges to…
Bimanual Deformable Bag Manipulation Using a Structure-of-Interest Based Neural Dynamics Model
Peng Zhou, Pai Zheng, Jiaming Qi +5
The manipulation of deformable objects by robotic systems presents a significant challenge due to their complex and infinite-dimensional configuration spaces. This paper introduces…
Learning Rhythmic Trajectories with Geometric Constraints for Laser-Based Skincare Procedures
Anqing Duan, Wanli Liuchen, Jinsong Wu +3
The increasing deployment of robots has significantly enhanced the automation levels across a wide and diverse range of industries. This paper investigates the automation challenge…
Explicit-Implicit Subgoal Planning for Long-Horizon Tasks with Sparse Reward
Fangyuan Wang, Anqing Duan, Peng Zhou +4
The challenges inherent in long-horizon tasks in robotics persist due to the typical inefficient exploration and sparse rewards in traditional reinforcement learning approaches. To…