About

Yasushi Mae is a prominent robotics researcher whose work spans humanoid robot control, human-robot interaction, and socially aware navigation. Based at Osaka University, Mae has made foundational contributions to some of the most challenging problems in modern robotics, earning widespread recognition across multiple research fronts. Mae's early work established sophisticated real-time control frameworks for humanoid robots engaged in mobile manipulation — enabling robots to perform complex dual-arm tasks while dynamically maintaining balance and optimizing posture for force generation. His development of multi-limb robots integrating locomotion and manipulation, alongside methods for bipedal walking on rough terrain, reflects a deep commitment to practical, deployable robotic systems. Perhaps most distinctively, Mae pioneered the use of virtual reality as a rigorous tool for evaluating human psychological responses to robots, recognizing early that safety and social acceptance are as critical as technical performance. This VR-based evaluation methodology, cited over 80 times, became a benchmark approach for assessing human sense of security around coexisting robots. His subsequent work on social force models and face-orientation analysis to guide collision avoidance and navigation further demonstrates his commitment to robots that understand and respect human behavior. Collectively, his portfolio represents over 400 citations, reflecting enduring influence across robotics, human factors, and human-robot coexistence research.

Research Focus

Key Achievements

18
H-Index
106
Papers
1,185
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of human sense of security for coexisting robots using virtual reality. 1st report: evaluation of pick and place motion of humanoid robots
82 citations · 2004
📈 Most Prolific Year: 2009 (12 Papers)
🤝 Key Collaborators: 122
🏛 Institutions: The University of Osaka, Osaka University of Human Sciences, University of Fukui, Toneyama National Hospital, Kyoto University, Kansai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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