Min-Chan Hwang

Jiangxi University of Science and Technology

Papers

Total Citations

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About

Min-Chan Hwang is a robotics researcher whose work focuses on the intersection of bio-inspired design and legged locomotion, particularly through the development of innovative hexapod robots. His major contributions center on creating more efficient and stable multi-legged systems. In his most cited work, "The Design and Building of a Hexapod Robot with Biomimetic Legs" (2019, 8 citations), Hwang introduced a distributed control system that mimics biological neural networks, using a central pattern generator and a computer acting as a brain-stem to coordinate leg movements via wireless communication. This approach addresses the fundamental challenge of generating stable, tumbling-free motion. Hwang further advanced the field with "A Hexapod Robot with Non-Collocated Actuators" (2018, 5 citations), which reduces the number of actuators—a common source of complexity and weight—by decoupling them from the joints. His work also explores the application of machine learning, as seen in "Application of Support Vector Machine in Designing Theo Jansen Linkages" (2019, 3 citations), where he optimized the classic Jansen mechanism for more energy-efficient walking. Through these contributions, Hwang demonstrates a commitment to building simpler, more robust, and biologically plausible robotic systems.