Luis Yoichi Morales Saiki
Advanced Telecommunications Research Institute International, Nagoya University, Institute for Future Engineering
Papers
7
Total Citations
160
H-Index
5
About
Luis Yoichi Morales Saiki is a leading researcher in human-robot interaction (HRI) and autonomous navigation, with a focus on making robots socially aware and comfortable to be around. His work bridges robotics, cognitive science, and human behavior modeling. His most influential contribution is a computational model for side-by-side walking, detailed in his 2012 paper “How do people walk side-by-side?” (65 citations), which introduced the concept of motion anticipation for two walking partners. This foundational work was extended in “Destination unknown” (37 citations), exploring navigation without predefined goals. Morales has also advanced autonomous wheelchair navigation, developing systems that reduce passenger stress by predicting collisions in blind, occluded regions (15 citations). His research further encompasses environment modeling from a route perspective (27 citations), social group motion in robots, and pedestrian density prediction for efficient robot exploration. By integrating semantic context clustering and 3-D person-object interaction classification, he enables robots to understand and navigate human environments more intuitively. With a career spanning over a decade, Morales’s work is essential reading for anyone interested in socially compliant robot navigation, human-aware path planning, and the future of autonomous mobility in crowded, dynamic spaces.
Research Focus
Key Achievements
Top Papers
- 1How do people walk side-by-side?65 citations · 2012
- 2Destination unknown37 citations · 2014
- 3Modeling environments from a route perspective27 citations · 2011
- 4
- 5Social Group Motion in Robots11 citations · 2017
- 6Pedestrian Density Prediction for Efficient Mobile Robot Exploration3 citations · 2019
- 7