Makoto Kajitani

University of Electro-Communications

Papers

22

Total Citations

194

H-Index

9

About

Makoto Kajitani is a pioneering roboticist whose career has centered on bridging the gap between human dexterity and machine precision. His research spans three core areas: human-robot symbiosis, high-speed dynamic skill transfer, and intelligent sensing for mobile robots. Kajitani’s most influential work includes the development of musician robots (1989, 24 citations), a foundational project that explored the complexities of replicating human artistic motion. He made significant contributions to safety in human-robot interaction, notably through a mobile manipulator with hybrid joints designed to absorb impact during collisions (2005, 13 citations). His innovations in rapid obstacle sensing using a sonar ring (2003, 22 citations) enabled mobile robots to detect and avoid obstacles simultaneously, a critical advancement for autonomous navigation. Kajitani also delved into the replication of human athletic skill, developing a golf swing robot that used learning control to improve accuracy (2003, 18 citations) and analyzing the kinetics of high-speed actions like hammering to create ultra-high-speed manipulators (2000, 18 citations). With a total of over 140 citations across his top ten papers, Kajitani’s work remains a touchstone for researchers in humanoid robotics, sensor fusion, and skill-based machine learning.

Research Focus

Key Achievements

9
H-Index
22
Papers
194
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Development of Musician Robots
24 citations · 1989
📈 Most Prolific Year: 2000 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: University of Electro-Communications

Top Papers

  1. 1
    Development of Musician Robots
    24 citations · 1989
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Key Collaborators

Contact & Links

Available for collaboration
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