Yintao Wang
Papers
1
Total Citations
11
H-Index
1
About
Yintao Wang is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots in uncertain environments. His most cited paper, "Reactive Path Planning Approach for Docking Robots in Unknown Environment" (2017, 11 citations), addresses a critical challenge in long-distance autonomous operations: enabling robots to safely dock for recharging or data exchange when faced with unforeseen obstacles. Wang’s contribution lies in developing a reactive planning strategy that allows robots to dynamically adjust their pose and trajectory in real time, ensuring successful docking without relying on pre-mapped environments. This work has practical implications for field robotics, including search-and-rescue and industrial automation, where adaptability is paramount. While his citation count reflects a focused, early-career impact, Wang’s research underscores the importance of robust, sensor-driven control in bridging the gap between theoretical path planning and real-world deployment. His approach offers a foundation for future work in resilient autonomous systems, making him a notable contributor to the growing field of reactive robotics.
Research Focus
Key Achievements
Top Papers
- 1Reactive Path Planning Approach for Docking Robots in Unknown Environment11 citations · 2017