Wei Shun Chee

About

Wei Shun Chee is a researcher in evolutionary robotics, with a primary focus on the automated design and optimization of snake-like modular robots. His work lies at the intersection of artificial evolution, robot morphology, and control systems. Chee’s major contributions include pioneering the use of hybridized Genetic Programming and self-adaptive Differential Evolution algorithms to automatically generate complex locomotion gaits, such as vertical undulation and lateral rolling, without manual programming. He further advanced the field by applying multi-objective optimization to simultaneously maximize forward movement while minimizing conflicting objectives, and by co-evolving both the robot’s physical structure (morphology) and its controller. Despite the niche nature of his research, his most cited paper (4 citations) demonstrates the foundational value of his evolutionary approach. Chee’s work is notable for its systematic comparison of multi-objective optimization methods and its demonstration of fully automated design pipelines for modular robots, offering a blueprint for future research in adaptive robotics and embodied intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   Using a co-evolutionary approach to automatically generate vertical undulation and lateral rolling motions for snake-like modular robot

   4 citations · 2014
2. 2
   Empirically Comparing Three Multi-Objective Optimization Approaches for the Automated Evolution of Snake-Like Modular Robots

   3 citations · 2014
3. 3
   Simultaneous Evolutionary-Based Optimization of Controller and Morphology of Snake-Like Modular Robots

   3 citations · 2014

Key Collaborators

Contact & Links