Yimin Chen

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Yimin Chen is a researcher whose work centers on robotics, path planning, and intelligent systems. Their most notable contribution to date is the development of an improved path planning algorithm tailored for challenging terrain environments, published in 2016. In this work, Chen introduced an innovative 2.5-dimensional terrain grid representation designed to significantly reduce computational overhead — a persistent challenge in real-time navigation systems. By integrating fuzzy logic theory into the framework, the approach enables more nuanced evaluation of terrain trafficability across rugged and uneven surfaces, making it particularly relevant for autonomous robot navigation, game AI, and group animation simulation. This research addresses a fundamental problem shared across multiple disciplines, bridging theoretical algorithmic design with practical applications in dynamic and unpredictable environments. With 3 citations, the work has begun attracting attention within the robotics and intelligent systems communities. Chen's focus on combining geometric modeling with soft computing techniques reflects a thoughtful approach to solving real-world navigation challenges, and their contributions offer a promising foundation for future advances in autonomous systems operating in complex, unstructured terrain.