Kay Chen Tan

About

Kay Chen Tan is a prominent researcher whose work spans evolutionary computation, autonomous robotics, and multitask optimization — fields at the intersection of artificial intelligence and intelligent systems. His landmark 2002 paper introducing Evolutionary Artificial Potential Fields (EAPF) remains his most influential contribution, garnering 344 citations by elegantly marrying genetic algorithms with classical potential field methods to achieve robust real-time robot path planning. This work laid foundational groundwork for subsequent advances in autonomous navigation. Tan has consistently pushed the boundaries of robot cognition, evidenced by his neuro-inspired cognitive navigation framework (2017), which integrates active navigation with sequence learning to replicate biological spatial reasoning in robotic systems. His 2021 contribution on Meta-Knowledge Transfer-Based Differential Evolution (177 citations) reflects his evolution into multitask optimization, addressing a critical limitation in knowledge transfer strategies across complex problem domains. Beyond individual papers, Tan has shaped the field through influential texts including *Evolutionary Robotics: From Algorithms to Implementations* (2006) and *Design and Control of Intelligent Robotic Systems* (2009), cementing his role as both practitioner and educator. His body of work demonstrates a sustained commitment to bridging biological inspiration with practical engineering solutions, making him a key figure in computational intelligence research.

Research Focus

Key Achievements

Top Papers

1. 1
   Evolutionary artificial potential fields and their application in real time robot path planning

   344 citations · 2002
2. 2
   A Meta-Knowledge Transfer-Based Differential Evolution for Multitask Optimization

   177 citations · 2021
3. 3
   Cognitive Navigation by Neuro-Inspired Localization, Mapping, and Episodic Memory

   67 citations · 2017
4. 4
   Recent Advances in Simulated Evolution and Learning

   57 citations · 2004
5. 5
   Design and Control of Intelligent Robotic Systems

   38 citations · 2009
6. 6
   Interoperable multi-agent framework for unmanned aerial/ground vehicles: towards robot autonomy

   27 citations · 2016
7. 7
   Evolutionary Robotics: From Algorithms to Implementations

   22 citations · 2006
8. 8
   Evolutionary Robotics: From Algorithms to Implementations

   16 citations · 2006
9. 9
   Evolvable Hardware in Evolutionary Robotics

   15 citations · 2003
10. 10
    Task-Oriented Developmental Learning for Humanoid Robots

    14 citations · 2005

Key Collaborators

Contact & Links