Chengjun Ding
Papers
6
Total Citations
33
H-Index
3
About
Chengjun Ding is a pioneering robotics researcher whose work spans omni-directional mobile platforms, bio-inspired locomotion, and human-robot interaction. His most influential contribution, "Integrating Mecanum wheeled omni-directional mobile robots in ROS" (12 citations), established a foundational design for ground robots using ROS and Arduino-based control, enabling precise maneuverability in constrained environments. Ding further advanced teleoperation with his 2009 work on virtual reality-based robot control (11 citations), which explored VR as an intuitive human-machine interface. His recent centipede-inspired robot (2025) demonstrates passive terrain adaptation through flexible articulation and deformable wheels, achieving robust mobility on unstructured ground—a design validated through performance analysis. Ding’s research also includes vision-based navigation using fuzzy control (2006), path planning for snake-like robots with model predictive control (2023), and dynamic simulation of five-degree-of-freedom manipulators (2010). Across these projects, he consistently integrates practical hardware (Arduino, ADAMS) with advanced algorithms (fuzzy logic, MPC), bridging simulation and real-world deployment. With over 30 citations across his key works, Ding’s contributions to mobile robotics—from omni-directional platforms to bio-inspired designs—offer valuable insights for students and researchers developing autonomous systems for complex environments.
Research Focus
Key Achievements
Top Papers
- 1Integrating Mecanum wheeled omni-directional mobile robots in ROS12 citations · 2016
- 2Design of mobile robot teleoperation system based on virtual reality11 citations · 2009
- 3
- 4
- 5Path Planning and Gait Control of Snake Robot Based on PAPF and MPC2 citations · 2023
- 6