Dianjun Wang

About

Dianjun Wang is a robotics researcher whose work spans mobile robot navigation, intelligent parking systems, and collaborative robotics. His most influential contribution is an improved A* algorithm for indoor mobile-robot path planning, which has garnered 50 citations and remains a foundational reference for grid-based navigation in structured environments. Wang has also advanced practical automation through a discrete PID-based path-tracking system for parking robots, addressing the complex motion control of steering-wheel chassis to improve the space utilization of intelligent garages. More recently, his research has focused on the precision of collaborative robots, analyzing friction loss in harmonic drives to enhance torque control accuracy in integrated joints. Wang’s work on all-terrain mobile robots with linkage suspension further demonstrates his commitment to improving environmental adaptability without sacrificing efficiency. His early career includes pioneering work in dual-robot coordination for vision-based chess systems, showcasing his long-standing interest in integrating perception and manipulation. With a career spanning over a decade, Wang’s contributions continue to influence both the theoretical foundations and real-world applications of robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Indoor mobile-robot path planning based on an improved A~* algorithm

   50 citations · 2012
2. 2
   Parking Robot Path-Tracking System Based on Discrete PID Algorithm

   5 citations · 2023
3. 3
   Harmonic drive friction loss based on an integrated joint for collaborative robots

   4 citations · 2024
4. 4
   Design and Motion Analysis of a Mobile Robot Based on Linkage Suspension

   3 citations · 2022
5. 5
   Pieces Identification in the Chess System of Dual-Robot Coordination Based on Vision

   2 citations · 2010

Key Collaborators

Contact & Links