Xinqing Wang
Papers
1
Total Citations
4
H-Index
1
About
Xinqing Wang is a robotics researcher whose work centers on intelligent trajectory planning and autonomous navigation for unmanned systems. Their most notable contribution is the development of the Bridge Algorithm, a novel trajectory planning method inspired by the classic Bug2 algorithm. Introduced in their 2019 paper, the Bridge Algorithm enables omnidirectional robots to generate deterministic, obstacle-free paths in complex environments—eliminating the randomness inherent in many existing approaches. By mimicking the human cognitive process of finding the shortest feasible route, Wang’s algorithm offers a more reliable and efficient solution for real-world robotic navigation. While their work has garnered early citations, the Bridge Algorithm represents a foundational contribution to the field of autonomous path planning, with potential applications in search-and-rescue, industrial automation, and mobile robotics. Wang’s research bridges the gap between biological inspiration and algorithmic precision, offering a promising direction for future intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1