K. Ishimura

Kobe University

Papers

1

Total Citations

4

H-Index

1

About

K. Ishimura’s research centers on human-robot interaction, with a particular focus on multi-modal communication and autonomous map generation. In their most-cited work, “Multi-modal human robot interaction for map generation” (2004, 4 citations), Ishimura developed an innovative interface that allows humans to teach a newcomer robot about its environment using natural speech commands and hand gestures. This contribution enables robots to build spatial knowledge and generate internal maps through intuitive, real-time interaction—a foundational step toward more adaptive and socially aware robotic systems. By bridging verbal and non-verbal communication, Ishimura’s work highlights the potential for robots to learn from humans in dynamic, unstructured settings. Though early in citation impact, this research is notable for its forward-looking integration of multimodal input into robotic learning, laying groundwork for later advances in collaborative human-robot teams. Ishimura’s approach continues to inform studies on intuitive robot teaching and environment understanding.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Multi-modal human robot interaction for map generation
4 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kobe University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago