858 citations
- Shanghai Artificial Intelligence LaboratoryCN101 papers
- University of Chinese Academy of SciencesCN69 papers
- Chinese Academy of SciencesCN65 papers
- Peking UniversityCN62 papers
- Tsinghua UniversityCN54 papers
- Institute of AutomationCN51 papers
- Shanghai Jiao Tong UniversityCN33 papers
- Shandong Institute of AutomationCN31 papers
- Beihang UniversityCN24 papers
- Fudan UniversityCN24 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN17 papers
- Chinese University of Hong KongHK17 papers
8 papers · 2 filters
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Zihang Zhao, Wanlin Li, Yuyang Li +9
Developing robotic hands that adapt to real-world dynamics remains a fundamental challenge in robotics and machine intelligence. Despite significant advances in replicating human h…
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
Kun Wu, Chengkai Hou, Jiaming Liu +34
In this paper, we introduce RoboMIND (Multi-embodiment Intelligence Normative Data for Robot Manipulation), a dataset containing 107k demonstration trajectories across 479 diverse…
M2Diffuser: Diffusion-based Trajectory Optimization for Mobile Manipulation in 3D Scenes
Sixu Yan, Zeyu Zhang, Muzhi Han +7
Recent advances in diffusion models have opened new avenues for research into embodied AI agents and robotics. Despite significant achievements in complex robotic locomotion and sk…
MiniTac: An Ultra-Compact 8 mm Vision-Based Tactile Sensor for Enhanced Palpation in Robot-Assisted Minimally Invasive Surgery
Wanlin Li, Zihang Zhao, Leiyao Cui +4
Robot-assisted minimally invasive surgery (RAMIS) provides substantial benefits over traditional open and laparoscopic methods. However, a significant limitation of RAMIS is the su…
M3Bench: Benchmarking Whole-body Motion Generation for Mobile Manipulation in 3D Scenes
Zeyu Zhang, Sixu Yan, Muzhi Han +4
We propose M3Bench, a new benchmark for whole-body motion generation in mobile manipulation tasks. Given a 3D scene context, M3Bench requires an embodied agent to reason about its…
PGD-VIO: An Accurate Plane-Aided Visual-Inertial Odometry with Graph-Based Drift Suppression
Yidi Zhang, Fulin Tang, Zewen Xu +2
Generally, high-level features provide more geometrical information compared to point features, which can be exploited to further constrain motions. Planes are commonplace in man-m…