Yupeng Zheng
Yupeng Zheng is a researcher affiliated with the Institute of Automation, Chinese Academy of Sciences. He is known for his work on visuo-tactile world models for contact-rich robotic manipulation, including contributions to projects such as OmniVTA and TacForeSight. His research focuses on integrating tactile and visual sensing to advance robotic manipulation capabilities.
“VT-WAM: Visual-Tactile World Action Model for Contact-Rich Manipulation”
Source→“VT-WAM achieves a 71.67% average success rate across six real-world contact-rich tasks, outperforming the vision-only Fast-WAM baseline by 26.67% and the tactile-augmented VLA OmniVTLA by 35.84%”
Source→“Project leader for VT-WAM, bridging academic research at CAS with applied robotics at TARS Robotics”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.