About

Kazuhito Yokoi is a pioneering roboticist whose career has fundamentally shaped the field of humanoid and biped locomotion. His research centers on bipedal walking pattern generation, humanoid motion planning, and autonomous robot capabilities in human environments. Yokoi's most transformative contributions lie in the mathematical modeling of biped locomotion: his 2004 paper introducing preview control of the zero-moment point (ZMP) has accumulated over 2,000 citations and remains a cornerstone reference in the field, while his development of the 3D Linear Inverted Pendulum Mode (3D-LIPM) — with over 1,000 citations — provided roboticists with an elegantly simple yet powerful framework for stable walking control. His work on resolved momentum control further extended humanoid motion planning by leveraging linear and angular momentum, earning over 460 citations. Beyond locomotion theory, Yokoi has explored motion imitation from human dance capture, multi-robot cooperation, and real-time pattern generation. His 2014 textbook, *Introduction to Humanoid Robotics*, consolidates much of this expertise for the broader research community. Collectively, his publications have garnered thousands of citations, establishing him as one of the most influential figures in humanoid robotics research.

Research Focus

Key Achievements

48
H-Index
200
Papers
11,574
Total Citations
58
Avg Citations/Paper
🏆 Most Cited Paper
Biped walking pattern generation by using preview control of zero-moment point
2,083 citations · 2004
📈 Most Prolific Year: 2004 (27 Papers)
🤝 Key Collaborators: 183
🏛 Institutions: National Institute of Advanced Industrial Science and Technology, Tokyo University of Science, Stanford University, University of Tsukuba, Robotics Research (United States), Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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