Bijun Tang

Papers

Total Citations

H-Index

About

Dr. Bijun Tang is a leading researcher in autonomous navigation and mobile robotics, with a primary focus on path planning algorithms for intelligent vehicles. Their most cited work, "Path Planning Based on Improved Hybrid A* Algorithm" (2021, 40 citations), addresses critical limitations in standard hybrid A* approaches, which often produce inefficient, obstacle-proximate paths with excessive steering. By integrating the artificial potential field (APF) concept, Dr. Tang’s innovation significantly enhances path smoothness and safety margins, enabling more drivable and collision-free trajectories. This contribution has direct implications for real-world autonomous systems, from warehouse robots to self-driving cars, and has been widely adopted by peers seeking to refine motion planning in cluttered environments. Beyond this flagship paper, Dr. Tang’s broader research portfolio explores optimization techniques for robotic navigation, demonstrating a consistent commitment to bridging theoretical algorithms with practical deployment challenges. With a growing citation footprint and a reputation for solving tangible engineering problems, Dr. Tang is an influential voice in the evolution of intelligent transportation and mobile robotics.