Siok Yee Tan

Papers

Total Citations

H-Index

About

Dr. Siok Yee Tan is a leading researcher in multi-robot systems and autonomous navigation, with a primary focus on decentralized collision avoidance and path planning for mobile robots operating in complex, real-world environments. Her seminal work, the highly cited 2022 systematic review "Decentralized Multi-Robot Collision Avoidance: A Systematic Review from 2015 to 2021" (33 citations), provides a critical synthesis of state-of-the-art strategies for enabling robot teams to safely and efficiently explore hard-to-reach areas like disaster sites and sewer systems. This review has become a foundational reference for researchers tackling the fundamental challenge of symmetrical robot configurations that hinder optimal path planning. Dr. Tan’s contributions are pivotal for advancing autonomous exploration in hazardous environments, where her insights help robots coordinate without centralized control. Her work not only maps the current landscape but also identifies key gaps, driving future innovations in multi-robot coordination. With a growing citation impact, Dr. Tan is recognized for bridging theoretical frameworks with practical deployment challenges, making her a vital voice in the evolution of resilient, decentralized robotic systems.