Yuenan Wang
Papers
1
Total Citations
4
H-Index
1
About
Yuenan Wang is a robotics researcher whose work centers on the motion control and trajectory tracking of wheeled mobile robots, particularly differential drive systems. Their most-cited paper, "Trajectory Tracking Control of Differential Drive Mobile Robot Based on Improved Kinematics Controller Algorithm" (2018), addresses a critical limitation in mobile robot control: the reliance on purely kinematic models, which fail under high-speed or heavy-duty conditions. Wang proposed an improved kinematics controller algorithm that enhances trajectory accuracy and stability, bridging the gap between theoretical kinematics and real-world dynamic demands. This contribution has garnered 4 citations, reflecting its relevance to researchers tackling practical motion control challenges. Wang’s work is notable for focusing on the intersection of control theory and applied robotics, offering solutions that improve robot performance in demanding scenarios. By highlighting the inadequacies of standard kinematic controllers, Wang has helped advance the design of more robust and reliable mobile robots for industrial and autonomous applications. Their research continues to inform the development of smarter, more adaptive control strategies in the field of mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1