Keke Shi

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Keke Shi is a researcher whose work centers on the critical intersection of robotics and autonomous navigation, with a particular focus on path planning algorithms for mobile robots. Their most cited paper, "Review of Path Planning Algorithms for Mobile Robots" (2025), has already garnered 1 citation, signaling early recognition in a rapidly evolving field. This comprehensive review synthesizes and evaluates a wide range of algorithmic approaches—from classical graph-based methods to modern machine learning-driven techniques—providing a valuable roadmap for researchers and engineers seeking to optimize robot movement in complex environments. Shi’s contribution lies in systematically categorizing these algorithms, highlighting their trade-offs in efficiency, safety, and adaptability, which is essential for advancing applications in logistics, exploration, and service robotics. By offering a clear taxonomy and critical analysis, this work helps bridge the gap between theoretical developments and practical implementation. As autonomous systems continue to proliferate, Shi’s research serves as a foundational reference, guiding future innovations in real-time navigation and collision avoidance. Their work underscores a commitment to making mobile robots smarter, safer, and more capable in dynamic, unstructured settings.