Max Robotics — Global Service Robot Directory + US Certification

About

Tien-Szu Pan is a leading researcher in intelligent robotics, with a primary focus on multi-objective optimal path planning and swarm-based robotic control. His most influential work, "A multi-objective optimal mobile robot path planning based on whale optimization algorithm" (2016), has garnered 98 citations and introduces a novel application of the Whale Optimization Algorithm (WOA) to solve complex, multi-criteria path planning problems in constrained environments. Pan further advanced this field with his 2017 paper on the bees pollen optimization algorithm, which addresses interference in multi-dimensional robotic operations. Beyond path planning, he has contributed to visual SLAM (simultaneous localisation and mapping) systems, proposing a monocular method using ORB features, and has investigated the effects of algorithmic parameters on swarm robotic search. His research is characterized by a deep integration of nature-inspired optimization algorithms with practical robotic challenges, making his work highly cited and influential in the robotics community. Pan’s contributions are essential reading for students and researchers interested in autonomous navigation, swarm intelligence, and multi-objective optimization in robotics.