Jiangxu Liu
Papers
1
Total Citations
5
H-Index
1
About
Dr. Jiangxu Liu is a leading researcher in physical human–robot interaction (pHRI), with a primary focus on developing intelligent control systems that ensure both safety and precision in collaborative robotics. His most cited work, "Reinforcement Learning-Based Admittance Control for Physical Human–Robot Interaction With Output Constraints" (2025, 5 citations), tackles the critical challenge of enabling robots to operate compliantly alongside humans while avoiding collisions and maintaining accurate trajectory tracking. By integrating reinforcement learning with admittance control, Dr. Liu has pioneered a framework that allows robots to adapt their behavior in real time, balancing the competing demands of flexibility and constraint satisfaction. This contribution is particularly impactful for applications in manufacturing, rehabilitation, and service robotics, where safe human-robot collaboration is paramount. His research addresses fundamental scientific issues in pHRI, offering a robust solution to the long-standing problem of achieving both compliant motion and precise control under dynamic conditions. With a growing citation record, Dr. Liu’s work is shaping the next generation of adaptive robotic systems, making him a notable figure in the field of human-centered robotics and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1