Changgeng Li

Papers

Total Citations

177

H-Index

About

Changgeng Li is a leading researcher in mobile robotics and intelligent path planning, best known for advancing autonomous navigation systems. His most influential work, "Global path planning based on a bidirectional alternating search A* algorithm for mobile robots" (2022), has garnered 177 citations, reflecting its significant impact on improving the efficiency and optimality of robot motion in complex environments. Li’s core contributions lie in developing novel heuristic search algorithms that reduce computational overhead while ensuring collision-free, smooth trajectories—critical for real-time applications in logistics, manufacturing, and service robotics. By introducing bidirectional alternating search strategies, he addressed key limitations of traditional A* algorithms, enabling faster convergence and better path quality. His research bridges theoretical algorithm design with practical deployment, often validated through rigorous simulations and real-world experiments. Li’s work is widely cited in robotics and artificial intelligence communities, influencing subsequent studies on multi-robot coordination and dynamic obstacle avoidance. As a dedicated scholar, he continues to push boundaries in autonomous systems, making his research essential reading for students and engineers seeking efficient, scalable solutions for intelligent mobile robots.