Makoto Kajitani
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
Top Papers
- 1Development of Musician Robots24 citations · 1989
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- 4Human Dynamic Skill in High Speed Actions and Its Realization by Robot18 citations · 2000
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- 6Rapid obstacle sensing using mobile robot sonar10 citations · 2000
- 7Cooperative Operation of Two Mobile Robots10 citations · 1996
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