Chujia Pan
Papers
1
Total Citations
12
H-Index
1
About
Chujia Pan is a leading researcher in the field of robotics, with a primary focus on adaptive control systems and cooperative manipulation. Their most notable contribution is the development of an impedance control framework for force tracking in dual-arm cooperative robots, optimized through particle swarm optimization (PSO). This work, published in 2024 and already garnering 12 citations, addresses a critical challenge in robotics: precisely managing the interaction forces when a robot directly contacts an external environment. By integrating PSO into adaptive impedance control, Pan has provided a robust method for enhancing the stability and accuracy of dual-arm systems, which is essential for tasks requiring delicate force regulation, such as assembly or human-robot collaboration. This achievement underscores Pan’s expertise in bridging optimization algorithms with real-time robotic control, offering practical solutions for complex manipulation scenarios. Their research is highly relevant for students and engineers working on advanced robotics, particularly in applications demanding precise force tracking and cooperative task execution.
Research Focus
Key Achievements
Top Papers
- 1