Papers
23
Total Citations
744
H-Index
11
About
Tetsushi Ikeda is a robotics and human-robot interaction researcher whose work sits at the intersection of autonomous navigation, pedestrian behavior analysis, and intelligent service robotics. He is perhaps best known for his pioneering contributions to multi-sensor person tracking in large-scale public environments, with his 2013 work on 3-D range sensor-based tracking accumulating over 280 citations and becoming a foundational reference in the field. Ikeda has made significant advances in modeling and predicting pedestrian behavior using sub-goal concepts, enabling robots to anticipate human movement and deliver proactive services — a critical capability for real-world deployment. His research on autonomous wheelchair navigation stands out for its human-centered focus, addressing passenger comfort through visibility modeling, collision prediction in occluded regions, and intention communication via light projection. Beyond navigation, Ikeda has explored retail robotics, demonstrating recommendation systems deployed in live shop environments, and contributed to brain-machine interface integration within smart home systems. His body of work, spanning over 650 cumulative citations, reflects a consistent commitment to building socially aware robotic systems that operate safely, comfortably, and intelligently alongside people in everyday environments.
Research Focus
Key Achievements
Top Papers
- 1Person Tracking in Large Public Spaces Using 3-D Range Sensors284 citations · 2013
- 2Communicating robotic navigational intentions97 citations · 2015
- 3Recommendation from robots in a real-world retail shop52 citations · 2010
- 4Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept52 citations · 2012
- 5Including human factors for planning comfortable paths47 citations · 2015
- 6Visibility analysis for autonomous vehicle comfortable navigation35 citations · 2014
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