Chuhan Wang
Papers
1
Total Citations
3
H-Index
1
About
Chuhan Wang is a researcher in intelligent manufacturing and robotics, with a primary focus on dual robotic arm coordination and path planning for industrial automation. Their most notable contribution is the development of a hybrid path planning method that integrates an improved Artificial Potential Field (APF) algorithm with the Rapidly-exploring Random Tree (RRT) approach, specifically designed to overcome the local minima problem inherent in traditional APF methods. This work, published in 2023, addresses critical challenges in steering wheel sewing devices, enabling more efficient and reliable coordination between dual robotic arms in complex manufacturing environments. With 3 citations to date, this paper has already garnered attention for its practical application in automated sewing processes. Wang’s research bridges the gap between theoretical robotics algorithms and real-world industrial applications, offering tangible solutions for improving precision and efficiency in automated assembly lines. Their work represents a meaningful step forward in advancing collaborative robotics for the textile and automotive industries.
Research Focus
Key Achievements
Top Papers
- 1