Xiaobao Wei
Papers
1
Total Citations
2
H-Index
1
About
Xiaobao Wei is a robotics researcher whose work focuses on the intersection of perception, manipulation, and physical interaction, with a particular emphasis on robust robotic grasping. His most cited work, "Center-of-Mass-Based Robust Grasp Pose Adaptation Using RGBD Camera and Force/Torque Sensing" (2023), introduces a novel framework that fuses visual data from an RGBD camera with real-time force/torque feedback to dynamically adjust grasp poses. This approach addresses a critical challenge in unstructured environments: ensuring stable grasps on objects with unknown or shifting centers of mass. By integrating tactile sensing with vision, Wei's method significantly improves grasp success rates, moving beyond static, pre-planned grasps toward adaptive, sensor-driven manipulation. While his citation count is currently modest, reflecting the recency of his work, the technical depth and practical relevance of his research position him as an emerging contributor in the field of dexterous manipulation. His contributions are particularly valuable for applications in warehouse automation, assistive robotics, and industrial assembly, where reliable grasping under uncertainty is paramount.
Research Focus
Key Achievements
Top Papers
- 1