Thi-Kien Dao

National Kaohsiung University of Applied Sciences, Hai Phong University, Fujian University of Technology

Papers

Total Citations

175

H-Index

About

Dr. Thi-Kien Dao is a leading researcher in multi-objective optimization for autonomous robotics, with a particular focus on developing nature-inspired algorithms for robot path planning. His major contributions lie in adapting and enhancing metaheuristic algorithms—including the Whale Optimization Algorithm, Grey Wolf Optimizer, and Bees Pollen Optimization—to solve the complex, multi-criteria path planning problems that arise from physical constraints and interference in robot operating spaces. His seminal 2016 paper on multi-objective mobile robot path planning using WOA has garnered 98 citations, establishing a foundational approach for balancing competing objectives such as path length, safety, and energy efficiency. Dr. Dao’s work consistently demonstrates how bio-inspired computation can effectively handle the multi-dimensional trade-offs inherent in motion robot navigation, as evidenced by his 2016 study on multi-objective Grey Wolf optimization (48 citations) and his 2017 Bees Pollen-based approach (19 citations). His 2018 research on Ions Motion Optimization further extends this line of inquiry. Through these contributions, Dr. Dao has significantly advanced the practical application of swarm intelligence to real-world robotic systems, making his research essential reading for engineers and scientists working on autonomous navigation.