Seiichi Miyakoshi

Electrotechnical Institute, Tokyo Institute of Technology

Papers

Total Citations

176

H-Index

About

Seiichi Miyakoshi is a pioneering figure in biologically inspired robotics, best known for his foundational work on central pattern generators (CPGs) and entrainment dynamics. His research focuses on developing robust, adaptive control frameworks for high-degree-of-freedom systems, particularly in the domains of bipedal locomotion and dynamic manipulation. Miyakoshi’s major contribution lies in demonstrating how neural oscillators can generate stable, three-dimensional bipedal stepping motions, bridging the gap between theoretical neurodynamics and real-world humanoid robotics. His most cited paper, "Three Dimensional Bipedal Stepping Motion using Neural Oscillators" (2002), has garnered 121 citations, establishing a key reference for researchers exploring CPG-based locomotion in unstructured environments. In parallel, his work on juggling control (21 citations) showcases the versatility of mutual entrainment for pattern generation and switching in robot manipulators. By extending classical neural oscillator models to complex, dynamic tasks, Miyakoshi has provided a compelling alternative to traditional trajectory planning, emphasizing emergent, self-organized behavior. His research remains highly influential for students and engineers seeking to build robots that move with the fluidity and adaptability of living organisms.