Shuguo Wang
Papers
1
Total Citations
11
H-Index
1
About
Shuguo Wang is a robotics researcher whose work has made meaningful contributions to the field of robotic manipulation and grasping. His most recognized research focuses on the computational foundations of robotic grasping, particularly the synthesis of three-dimensional form-closure grasps for multi-fingered robotic hands. In his influential 2000 paper, Wang developed a novel formulation for computing frictional form-closure grasps in three-dimensional space, introducing a recursive reduction technique that elegantly simplifies complex problems in six-dimensional wrench space into more tractable forms. This work addressed a fundamental challenge in robotic manipulation — enabling robots to securely grasp objects using multiple fingers — and has garnered 11 citations, reflecting its value to the robotics and automation community. By bridging theoretical geometry with practical robotic control, Wang's research laid important groundwork for advancing autonomous manipulation systems. His contributions are particularly relevant to researchers and students working in areas such as robotic hands, grasp planning, and multi-finger coordination, where rigorous mathematical frameworks are essential for building reliable and dexterous robotic systems capable of handling real-world objects.
Research Focus
Key Achievements
Top Papers
- 1The synthesis of 3-D form-closure grasps11 citations · 2000