Tomoaki Ohtsuki

Keio University

Papers

3

Total Citations

37

H-Index

3

About

Tomoaki Ohtsuki is a leading researcher at the intersection of robotics, wireless sensor networks, and artificial intelligence, with a focus on developing intelligent systems for safety and human well-being. His work spans three critical areas: indoor human activity detection, autonomous disaster response, and social media integrity. Ohtsuki’s most cited paper (18 citations) introduces a novel 2D-LIDAR-equipped unmanned robot system for monitoring elderly individuals living alone, enabling the detection of hazardous events like falls—a vital contribution to aging-in-place technologies. In the realm of disaster management, his intelligent path planning mechanism for firefighting in wireless sensor and actor networks (13 citations) offers a proactive solution for early forest fire detection and suppression, demonstrating how networked robots can mitigate environmental catastrophes. Additionally, Ohtsuki addresses the growing challenge of online manipulation with his work on social robot detection (6 citations), employing a RoBERTa classifier and random forest regressor to identify bot accounts on Twitter that distort public discourse. Through these diverse yet interconnected contributions, Ohtsuki has accumulated over 37 citations, showcasing his impact in creating safer physical and digital environments. His research not only advances autonomous systems but also directly addresses pressing societal needs, from elder care to environmental protection and cybersecurity.

Research Focus

Key Achievements

3
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection
18 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Keio University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago