1 citations · 1 across the 5 of their papers we have counts for
5 papers
Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation
Zhe Zhao, Zhibin Li, Yilin Ou +1
Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities but remain difficult to train the control policies that can deploy on real hardware due…
Closing the Reality Gap: Zero-Shot Sim-to-Real Deployment for Dexterous Force-Based Grasping and Manipulation
Zhe Zhao, Haoyu Dong, Zhengmao He +3
Human-like dexterous hands with multiple fingers offer human-level manipulation capabilities, but training control policies that can directly deploy on real hardware remains diffic…
Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE
Mengshi Qi, Zhe Zhao, Huadong Ma
Generating realistic human grasps is crucial yet challenging for object manipulation in computer graphics and robotics. Current methods often struggle to generate detailed and real…
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
Zhe Zhao, Mengshi Qi, Huadong Ma
Generating realistic human grasps is a crucial yet challenging task for applications involving object manipulation in computer graphics and robotics. Existing methods often struggl…
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera
Chao Li, Zheheng Zhao, Xiaohu Guo
This paper proposes a real-time dynamic scene reconstruction method capable of reproducing the motion, geometry, and segmentation simultaneously given live depth stream from a sing…