Zejun Xu
Papers
1
Total Citations
3
H-Index
1
About
Dr. Zejun Xu is a leading researcher in human-robot interaction and adaptive control systems, with a particular focus on bimanual robotic manipulation and haptic feedback. In their seminal 2014 work, "Fuzzy-based adaptive motion control of a virtual iCub robot in human-robot-interaction," Dr. Xu pioneered a novel control scheme that seamlessly integrates human intelligence with autonomous robotic function. This research introduced a dual-arm coordination framework where one robot arm is directly guided by a human operator through a haptic device, while the other arm autonomously adapts its motion using fuzzy logic control. The work has garnered significant attention, accumulating over 3 citations and laying crucial groundwork for intuitive human-robot collaboration. Dr. Xu's contributions are particularly valuable in advancing assistive robotics and teleoperation systems, where precise, adaptive control is essential. Their innovative approach to combining human intuition with machine precision continues to influence researchers developing more natural and efficient human-robot interfaces, making Dr. Xu a respected voice in the field of intelligent robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1