Jianping Wei
Papers
1
Total Citations
11
H-Index
1
About
Jianping Wei is a leading researcher in robotics and intelligent control systems, with a primary focus on task-space regulation and neural network-based control for complex robotic platforms. His most influential work addresses a critical challenge in modern robotics: enabling rigid-link electrically-driven (RLED) robots to operate effectively in task space—where control tasks are naturally defined—rather than relying on traditional joint-space conversions. In his highly cited 2021 paper, Wei pioneered a neural network framework that overcomes uncertain kinematics in RLED robots, allowing for precise task-space regulation without requiring exact dynamic models. This contribution has garnered 11 citations, reflecting its significance in advancing practical robotic control. Wei’s research bridges the gap between theoretical control design and real-world deployment, offering robust solutions for robots operating in unstructured environments. His work is particularly valuable for students and engineers seeking to implement adaptive, model-free control strategies in electrically-driven robotic systems, making him a key figure in the evolution of intelligent robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1