About

Tsutomu Hasegawa is a distinguished robotics researcher whose work spans robot manipulation, legged locomotion, human detection, and intelligent service robot systems. His foundational 1992 contribution on model-based manipulation — combining manipulation skills with environment modeling to supersede conventional teach-and-replay paradigms — garnered 136 citations and established a blueprint for more adaptive, intelligent robot control. Hasegawa has made significant strides in robotic performance evaluation, proposing the Inertia Matching Ellipsoid as a refined index of dynamic torque-force transmission efficiency in serial-link manipulators (64 citations), and developing novel fingertip designs with soft skin and hard nails to enhance dexterous multi-fingered grasping. His work on biped locomotion introduced straight-legged walking methodologies and sway compensation trajectories that pushed the boundaries of dynamically stable bipedal motion. Later research extended his focus to service robotics in real-world environments, leveraging sensor networks, RFID, Kinect-based place categorization, and 2D range data for human detection — collectively addressing the challenge of robust robot operation in complex daily-life settings. With over 640 cumulative citations, Hasegawa's career reflects a coherent vision: creating robots that perceive, reason, and act skillfully alongside humans.

Research Focus

Key Achievements

18
H-Index
93
Papers
1,311
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A model-based manipulation system with skill-based execution
136 citations · 1992
📈 Most Prolific Year: 2002 (15 Papers)
🤝 Key Collaborators: 108
🏛 Institutions: Kyushu University, National Institute of Technology, Kumamoto College, University of Electro-Communications, Electrotechnical Institute, Institute of Systems, Information Technologies and Nanotechnologies, Kyoto University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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