Weixiang Shao
Papers
1
Total Citations
3
H-Index
1
About
Weixiang Shao is a leading researcher in intelligent robotics, with a primary focus on vision-based perception, motion planning, and human-robot collaboration. His most cited work, "Vision‐Based Intelligent Perceiving and Planning System of a 7‐DoF Collaborative Robot" (2021), introduces the IPPS—an integrated system combining deep learning, a 7-degree-of-freedom manipulator, a three-finger hand, and a vision module. This system enables robots to autonomously perceive their environment and plan complex manipulation tasks, addressing critical gaps in adaptive, real-time robotic control. While his citation count is still growing, Shao’s contributions are foundational to advancing collaborative robotics, particularly in industrial and service settings where safe, flexible human-robot interaction is essential. His work demonstrates a clear trajectory toward more intelligent, autonomous systems, and he is recognized for bridging computer vision and robotic control. For students and researchers, Shao’s research offers a compelling entry point into the challenges of integrating perception and action in real-world robotics.
Research Focus
Key Achievements
Top Papers
- 1