Kojima

Papers

2

Total Citations

12

H-Index

2

About

Kojima is a researcher in robotics and artificial intelligence, with a focus on mobile robot coordination and human-robot interaction. Their early work pioneered the use of genetic algorithms combined with reinforcement learning to enable the re-formation of mobile robot teams, a contribution that has garnered 9 citations and laid groundwork for adaptive multi-robot systems. Kojima also explored social robotics through the development of a communication robot system based on handshaking actions, demonstrating how physical interaction can enhance human-robot communication. This work, cited 3 times, highlights their interest in creating more natural and intuitive interfaces between humans and machines. While their citation counts reflect a focused niche, Kojima’s research bridges optimization and social robotics, offering insights into both autonomous coordination and embodied interaction. Their contributions remain relevant for students and researchers studying evolutionary algorithms in robotics or designing robots for collaborative tasks.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Re-formation of mobile robots using genetic algorithm and reinforcement learning
9 citations · 2003
📈 Most Prolific Year: 2003 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago