Adam Tan Mohd Amin

Papers

Total Citations

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About

Adam Tan Mohd Amin’s research lies at the intersection of agricultural robotics, humanoid control, and rehabilitation engineering. His most influential work, “Terrain Classification for Track-driven Agricultural Robots” (19 citations), addresses a critical challenge in precision agriculture: enabling autonomous robots to adapt to diverse field conditions for tasks like selective harvesting. Complementing this, his adaptive controller for a 2-DOF humanoid robot arm (18 citations) models human motor control to achieve natural, humanlike motion, advancing both prosthetics and human-robot interaction. Amin also demonstrated practical innovation with a sensor-based navigation system using the Nao humanoid robot (11 citations), showcasing versatile mobile platforms for unstructured environments. In rehabilitation, his SMA-actuated finger exoskeleton (4 citations) targets stroke recovery, restoring fine motor skills through repetitive, robot-assisted therapy. Though his citation counts reflect a growing field, Amin’s work bridges foundational control theory with real-world applications—from farm fields to clinical settings—demonstrating a commitment to robots that adapt, assist, and augment human capability. His contributions offer valuable insights for students exploring adaptive robotics, bio-inspired control, and assistive technology.