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About

Amar Faiz Zainal Abidin is a robotics and control systems researcher whose work spans optimization algorithms, rehabilitation robotics, and bio-inspired locomotion. His most influential contribution, "A Particle Swarm Optimization Approach to Robotic Drill Route Optimization" (2010, 36 citations), tackles a practical manufacturing challenge: minimizing operational time and cost in PCB robotic drilling by optimizing drill-bit travel routes. This work demonstrates his expertise in applying swarm intelligence to real-world industrial robotics. Abidin also advances medical robotics with "A hybrid active force control of a lower limb exoskeleton for gait rehabilitation" (2017, 23 citations), which models and controls a three-link exoskeleton to improve rehabilitation therapy through precise force modulation. His research extends to bio-inspired control, as seen in his optimization of Central Pattern Generator (CPG) controllers for hopping robots using genetic algorithms (2018), and to autonomous service robots, including a sweeper robot for badminton courts (2016). Additionally, he explores machine learning applications in materials science with wood texture classification using Local Binary Patterns and Fuzzy K-Nearest Neighbor (2014). With a total of 68 citations across his top papers, Abidin’s work bridges theoretical optimization and practical robotic systems, making significant strides in industrial automation, rehabilitation engineering, and autonomous service robotics.