Cheng-Chu Fan

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Cheng-Chu Fan has made foundational contributions to the intersection of robotics and intelligent control, with a particular focus on simplifying complex learning systems and bio-inspired movement control. His early work, "An approach to simplify the learning space for robot learning control" (1998, 8 citations), introduced a method to reduce the dimensionality of learning environments, enabling more efficient robot adaptation—a key challenge in autonomous systems. Building on this, his 2002 paper "Control of voluntary limb movements by using a fuzzy system" (6 citations) proposed a novel control scheme inspired by the neuromuscular system, generating precise signals for multi-joint limb movements under varying velocities and loads. This work bridged fuzzy logic with biological motor control, offering a pathway for more natural and adaptive robotic limbs. Though his citation counts are modest, Fan’s research is notable for its conceptual rigor and interdisciplinary vision, anticipating later advances in learning-based robotics and human-robot interaction. His contributions remain a valuable reference for engineers exploring simplified, bio-mimetic control strategies.