Cai He

Papers

Total Citations

H-Index

About

Cai He is a researcher in robotics and autonomous navigation, with a primary focus on path planning algorithms for mobile robots. His most-cited work, "Improved A* Algorithm Based Path Planning for Mobile Robots" (2022), addresses critical limitations in traditional A* pathfinding—namely excessive traversing nodes and insufficient path safety and smoothness. He proposes an innovative obstacle expansion algorithm that generates a new map by enlarging obstacles in the initial environment, effectively reducing computational complexity while enhancing the practicality of the resulting paths. This contribution is particularly valuable for real-world applications where robots must navigate cluttered or dynamic spaces efficiently and safely. Although his citation count is currently modest (3 citations), the work represents a foundational step toward more robust and efficient robotic navigation systems. Cai He's research sits at the intersection of algorithm optimization and practical robotics, offering tangible improvements for autonomous systems in industrial, service, and exploratory settings. His approach demonstrates a keen understanding of the trade-offs between computational efficiency and path quality, making his work relevant for students and researchers seeking to advance mobile robot autonomy.