Shunsuke Koseki

Tohoku University

Papers

3

Total Citations

27

H-Index

3

About

Shunsuke Koseki is a rising force in the field of bio-inspired robotics, dedicated to unlocking the secrets of efficient and versatile bipedal locomotion. His research masterfully bridges the gap between biological principles and robotic control, focusing on how underactuated systems can achieve dynamic, energy-saving gaits. Koseki’s major contributions include pioneering the use of deep reinforcement learning to generate multimodal locomotion, enabling robots to fluidly transition between drastically different movement patterns by harnessing passive dynamics. He has also identified the essential biomechanical factors for energy-efficient walking across a wide speed range in reflex-based musculoskeletal systems, providing a blueprint for more lifelike robots and advanced assistive devices. His innovative "Concerted Control" method, which uses ground reaction forces as a shared signal to coordinate joint stiffness, offers a remarkably simple yet powerful approach to gait generation. With his most-cited works accumulating over 27 citations since 2023, Koseki is rapidly establishing himself as a key innovator whose work promises to shape the next generation of energy-savvy bipedal robots and human assistive technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal bipedal locomotion generation with passive dynamics via deep reinforcement learning
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tohoku University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago