Khairulmizam Samsudin
Universiti Putra Malaysia, Islamic Azad University, Science and Research Branch, Serdang Hospital
Papers
8
Total Citations
149
H-Index
5
About
Khairulmizam Samsudin is a leading researcher in swarm robotics and bio-inspired autonomous systems, with a focus on collective behavior, energy management, and mobile robot control. His most influential work, "A highly interpretable fuzzy rule base using ordinal structure for obstacle avoidance of mobile robot" (66 citations), introduced a novel approach to making robotic decision-making more transparent and efficient. Samsudin is particularly known for his pioneering studies on honeybee-inspired aggregation, where he analyzed how swarm robots can mimic the collective behaviors of young honeybees to cluster around optimal zones—a concept detailed in his highly cited 2011 paper (38 citations). He has also advanced practical robotics through the design of differential-drive wheeled robot controllers using pulse-width modulation (20 citations) and developed decentralized energy management systems for multi-robot teams, drawing inspiration from honeybee foraging behavior. His work bridges theoretical swarm intelligence with real-world applications, including voice-based self-localization and simulation frameworks for education. With over 140 total citations, Samsudin’s research continues to shape the fields of swarm robotics and bio-inspired control, offering interpretable and scalable solutions for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Imitation of Honeybee Aggregation with Collective Behavior of Swarm Robots38 citations · 2011
- 3
- 4
- 5Implementation of a Cue-Based Aggregation with a Swarm Robotic System7 citations · 2012
- 6
- 7Self-localization of swarm robots based on voice signal acquisition2 citations · 2010
- 8Mobile robots communication and control framework for USARSim2 citations · 2012