Papers
1
Total Citations
3
H-Index
1
About
Weigao Sun is a robotics researcher whose work focuses on advancing robot manipulation for industrial applications, particularly through vision-based control systems. His most-cited paper, "Vision-Based Position/Impedance Control for Robotic Assembly Task" (2019, 3 citations), addresses a critical bottleneck in automating assembly processes: the need for precise target pose detection. Sun proposes a novel framework that integrates vision sensing with position and impedance control, enabling robots to adaptively interact with their environment while maintaining accuracy. This approach reduces the reliance on tedious manual calibration, making robot manipulation algorithms more practical for real-world industrial settings. By bridging computer vision and adaptive control, Sun’s work contributes to the development of more flexible and autonomous robotic systems. Though early in his career, his research holds promise for streamlining manufacturing workflows, where precision and adaptability are paramount. His contributions highlight the growing intersection of perception and control in robotics, offering a pathway toward more intelligent and efficient automation.
Research Focus
Key Achievements
Top Papers
- 1Vision-Based Position/Impedance Control for Robotic Assembly Task3 citations · 2019