3 citations · 7 across the 29 of their papers we have counts for
11 papers · 1 filter
Hand2Robot: Object-Centric 4D Hand Reconstruction from Human Demonstrations for Robotics
Zetao Du, Weiqing Wang, Hanbing Zhang +4
Human demonstrations can capture task-relevant manipulation without using the target robot, but the recorded hand motions cannot directly serve as robot action supervision. Hand re…
From Social Reasoning to Embodied Interaction: An Agentic Framework for Social Robots
Ziyu Cheng, Yuewen Guo, Zhirui Liu +5
Natural face-to-face human--robot interaction requires a robot to understand an evolving social situation, decide when to engage, and express its intent through coordinated physica…
EmbodiRSI: Recursive Self-Improvement for Data-Efficient Robot Adaptation
Haoran Lang, Haotao Lu, Shiyu Sang +6
Adapting robot manipulation policies to new tasks and environments remains highly data-intensive, while the data needed for further improvement depends on the policy's current capa…
SelfWAM: A Self-Grounded Unified World Action Model for Fast Robot Control
Bikang Pan, Fan Liu, Haotao Lu +2
World Action Models (WAMs) improve robot policy learning by jointly modeling actions and future observations. However, conditioning future prediction only on the task prompt and ob…
LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents
Jingya Wang, Yuyang Gao, Liuzhenghao Lv +2
We introduce LabEvolver, a training-free framework that equips safe and grounded wet-lab agents with episodic memory from execution experience. LabEvolver couples a state-grounded…
ViTacWorld: Scaling Visuo-Tactile World Models for Contact-Rich Robot Manipulation
Yunao Huang, Shiyu Sang, Haotao Lu +6
Contact-rich robot manipulation requires physical interaction cues that are often invisible to cameras, making tactile sensing essential for robust control. However, scaling visuo-…
TactiDex: A Real-World Tactile-Guided Benchmark for Human-Like Dexterous Manipulation
Suting Ni, Hanbing Zhang, Zhenyu Wei +4
Tactile feedback is fundamental to Hand-Object Interaction (HOI), governing contact formation, force regulation, and stable manipulation, making it essential for achieving true hum…
PAPO-VLA: Planning-Aware Policy Optimization for Vision-Language-Action Models
Peizheng Guo, Jingyao Wang, Changwen Zheng +1
Vision-Language-Action (VLA) models show promising ability in language-guided robotic tasks. However, making VLA policies reliable remains challenging, because a manipulation task…
UniHM: Unified Dexterous Hand Manipulation with Vision Language Model
Zhenhao Zhang, Jiaxin Liu, Ye Shi +1
Planning physically feasible dexterous hand manipulation is a central challenge in robotic manipulation and Embodied AI. Prior work typically relies on object-centric cues or preci…
Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary
Zhirui Liu, Kaiyang Ji, Ke Yang +4
Enabling humanoid robots to follow free-form natural language commands is a critical step toward seamless human-robot interaction and general-purpose embodied AI. However, existing…
AffordDP: Generalizable Diffusion Policy with Transferable Affordance
Shijie Wu, Yihang Zhu, Yunao Huang +5
Diffusion-based policies have shown impressive performance in robotic manipulation tasks while struggling with out-of-domain distributions. Recent efforts attempted to enhance gene…