About

Fumio Kanehiro is a pioneering robotics researcher whose work has fundamentally shaped the field of humanoid robot locomotion and platform development. His research focuses on biped walking pattern generation, whole-body motion control, and the design of humanoid robotics systems — areas in which he has made internationally recognized contributions. Kanehiro's most influential work introduced preview control of the zero-moment point (ZMP) for biped walking pattern generation, a landmark 2004 paper that has garnered over 2,000 citations and remains a cornerstone reference in legged robotics. Closely related is his development of the 3D Linear Inverted Pendulum Mode (3D-LIPM), a elegantly simple yet powerful modeling framework cited over 1,000 times that continues to underpin modern walking controllers worldwide. Beyond locomotion theory, Kanehiro played a central role in developing Japan's HRP humanoid robot series — including HRP-2 and HRP-3 — as part of a major national initiative by Japan's Ministry of Economy, Trade and Industry. He also contributed the OpenHRP simulation platform and resolved momentum control methods for whole-body motion planning. With a cumulative citation count exceeding 6,000, his body of work represents some of the most impactful engineering research in humanoid robotics of the past two decades.

Research Focus

Key Achievements

55
H-Index
207
Papers
13,248
Total Citations
64
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 (20 Papers)
🤝 Key Collaborators: 241
🏛 Institutions: National Institute of Advanced Industrial Science and Technology, Japan Science and Technology Agency, Systems Research Institute, The University of Tokyo, Ibaraki National College of Technology, University of Tsukuba

Top Papers

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    Humanoid robot HRP-2
    750 citations · 2004
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    Humanoid robot HRP-3
    294 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
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