Papers
15
Total Citations
846
H-Index
11
About
Ken Nagasaka is a pioneering robotics researcher whose work spans humanoid robot locomotion, tactile sensing, and agricultural automation. Best known for his foundational contributions to bipedal robot motion control, Nagasaka developed integrated methods enabling humanoid robots to walk, jump, and run in real-time — work that has garnered over 219 citations and helped shape the trajectory of entertainment robotics. His development of ZMP-based dynamic walking pattern generation using the Optimal Gradient Method (158 citations) offered the field a elegantly simple yet broadly applicable framework for stable bipedal locomotion. Nagasaka played a central role in advancing Sony's SDR-4X robot platform, contributing motion creation systems, adaptive fall-over control, and human-robot interaction capabilities. His innovative full-body tactile sensor suit, constructed from conductive fabric and strings (137 citations), demonstrated creative thinking at the intersection of materials science and robot perception. He also explored evolutionary computation approaches, applying genetic algorithms and neural networks to teach robots visually guided motion. In later years, Nagasaka broadened his scope to agricultural robotics, contributing a highly regarded review of intelligent fruit-harvesting systems (48 citations). Across more than two decades, his interdisciplinary research has meaningfully advanced both humanoid robotics and practical autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3A full-body tactile sensor suit using electrically conductive fabric and strings137 citations · 2002
- 4A small biped entertainment robot exploring attractive applications121 citations · 2004
- 5Recent Advances in Intelligent Automated Fruit Harvesting Robots48 citations · 2019
- 6Motion creating system for a small biped entertainment robot45 citations · 2004
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