Hayato Terao

The University of Tokyo

Papers

1

Total Citations

1

H-Index

1

About

Dr. Hayato Terao is a pioneering robotics researcher whose work focuses on safe human-robot interaction, particularly in crowded and occluded environments. His most notable contribution, the 2025 paper "Detection of Texting While Walking in Occluded Environment Using Variational Autoencoder for Safe Mobile Robot Navigation," addresses a critical safety challenge as autonomous mobile robots increasingly share public spaces with pedestrians. By leveraging variational autoencoders, Dr. Terao developed a novel method to detect distracted pedestrians—specifically those texting while walking—even when partially obscured, enabling robots to anticipate unpredictable movements and avoid collisions. This work has already garnered attention with 1 citation shortly after publication, signaling its immediate relevance to the robotics community. Dr. Terao’s research bridges computer vision, anomaly detection, and autonomous navigation, offering practical solutions for real-world deployment of mobile robots in malls, airports, and hospitals. His innovative approach to modeling pedestrian behavior in cluttered settings represents a significant step toward safer, more socially aware robots that can coexist harmoniously with humans.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Detection of Texting While Walking in Occluded Environment Using Variational Autoencoder for Safe Mobile Robot Navigation
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Tokyo

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago