Chengcheng Wang
Papers
1
Total Citations
11
H-Index
1
About
Chengcheng Wang is a researcher specializing in robotics and control systems, with a focus on autonomous navigation and motion planning for mobile robots. Their most-cited work, "MPC Control and Path Planning of Omni-Directional Mobile Robot with Potential Field Method" (2018), has garnered 11 citations, demonstrating early impact in the field. Wang’s key contributions lie in integrating model predictive control (MPC) with potential field methods to enhance the trajectory tracking and obstacle avoidance capabilities of omni-directional robots. This work addresses critical challenges in real-time path planning, enabling smoother and safer navigation in dynamic environments. By combining advanced control theory with practical robotics applications, Wang has provided a foundation for further research in autonomous systems, particularly in scenarios requiring precise maneuverability. Their research is valuable for students and engineers working on mobile robot design, offering insights into balancing computational efficiency with robust performance. Wang’s work continues to influence developments in intelligent robotics, where adaptive control and path optimization are essential for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1