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About

Aliza Che Amran is a robotics and control systems researcher whose work centers on the design, optimization, and intelligent control of robotic systems, with a particular focus on upper limb robotics, bipedal locomotion, and dexterous robotic hands. Her research spans two interconnected domains: humanoid robot motion planning and prosthetic or assistive robotic limb development. Among her most notable contributions is her pioneering work on bipedal robot walking strategies for inclined surfaces, where she proposed position and orientation-based inverse kinematics algorithms to address the complex challenge of slope navigation — work that has attracted citations from fellow robotics researchers since 2010. Her later research shifted toward upper limb robotic systems, developing precision motion controllers for robotic arms and optimizing underactuated dexterous robotic hand designs using 3D-printed components, demonstrating a practical, cost-conscious approach to advanced robotics engineering. Amran's work on positioning control for robotic hands also highlights her commitment to real-world industrial safety applications, exploring how robots can replace human workers in hazardous environments. While her citation counts remain modest, her research represents a meaningful contribution to the field of rehabilitation robotics and autonomous locomotion, offering foundational insights valuable to students and engineers working at the intersection of control theory and mechanical design.