Papers

2

Total Citations

17

H-Index

2

About

Goichi Kajiura is a robotics researcher whose work centers on human-robot interaction and multi-robot cooperative systems. His most notable contributions focus on the challenge of enabling multiple robots to work together effectively under partial human supervision — a problem of considerable practical importance as robotic systems become more prevalent in complex task environments. Kajiura's primary innovation lies in his proposed cooperation framework, in which a human operator directly controls a single robot while autonomous assistant robots intelligently interpret the operator's intentions through motion recognition and provide complementary support. This elegant approach addresses a fundamental bottleneck in robotics: the cognitive and physical limitations that prevent a single human from simultaneously managing multiple robotic agents. By offloading coordination to the autonomous systems themselves, his architecture significantly reduces operator burden without sacrificing human oversight. His research, developed across publications spanning the late 1990s and early 2000s, has accumulated citations reflecting its foundational relevance to fields including teleoperation, autonomous systems, and collaborative robotics. With work appearing as early as 1997, Kajiura was an early contributor to what has since become a thriving area of inquiry — the seamless blending of human intent with machine autonomy in shared task environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Motion recognition based cooperation between human operating robot and autonomous assistant robot
12 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Electro-Communications, Mitsubishi Electric (Germany)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago