Jianhua Xu
Papers
1
Total Citations
4
H-Index
1
About
Jianhua Xu is a leading researcher in human-robot interaction (HRI) and intelligent control systems, with a focus on advancing collaborative robotics through reinforcement learning. His most cited work, "Human-Robot Interaction System Design for Manipulator Control Using Reinforcement Learning" (2021), introduces a novel HRI framework that integrates an impedance model controller with a robotic arm controller, enabling intuitive and adaptive coordinated manipulation. This contribution addresses critical challenges in real-time robot control, allowing operators to guide robotic arms with greater precision and safety. With 4 citations in a rapidly evolving field, Xu’s research has laid foundational groundwork for future developments in autonomous and semi-autonomous robotic systems. His work is particularly notable for bridging the gap between human intent and machine action, a key hurdle in industrial and service robotics. Xu’s achievements underscore his role in shaping next-generation HRI technologies, making him a valuable reference for students and researchers exploring reinforcement learning applications in robotics.
Research Focus
Key Achievements
Top Papers
- 1