Wanqiang Xi

About

Dr. Wanqiang Xi is a leading researcher in robotics, focusing on intelligent control, path planning, and human-robot interaction. His work addresses fundamental challenges in industrial and rehabilitation robotics, from optimizing manipulator dynamics to enabling safe, autonomous navigation. Dr. Xi has pioneered the integration of swarm intelligence algorithms—such as the Glowworm Optimization and Artificial Bee Colony algorithms—into robot control systems, significantly improving iterative learning and dynamic identification for industrial manipulators. His 2024 paper on mobile robot path planning, which combines improved Probabilistic Roadmaps with Artificial Potential Fields to overcome local minima and unreachable goal issues, has already garnered 8 citations, reflecting its immediate impact. Further demonstrating his versatility, Dr. Xi has contributed to the type synthesis of coordinated multi-robot systems and the design of soft wearable exosuits, including a novel double artificial tendon system for elbow rehabilitation. With multiple highly cited works, Dr. Xi’s research is shaping the future of autonomous, adaptive, and assistive robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Path planning of mobile robot based on improved PRM and APF

   8 citations · 2024
2. 2
   Dynamic Identification for Industrial Robot Manipulators Based on Glowworm Optimization Algorithm

   8 citations · 2017
3. 3
   Iterative learning control of robot based on artificial bee colony algorithm

   7 citations · 2019
4. 4
   Type synthesis of coordinated multi-robot system based on parallel thought

   3 citations · 2018
5. 5
   Design and transmission modeling of a soft elbow exosuit using double artificial tendon system

   2 citations · 2022

Key Collaborators

Contact & Links