Toshiki Oguchi

Tokyo Metropolitan University

Papers

10

Total Citations

96

H-Index

6

About

Toshiki Oguchi is a control systems researcher whose work sits at the intersection of networked robotics, time-delay compensation, and multi-agent coordination. His most significant contributions center on predictor-based control strategies designed to counteract the destabilizing effects of communication delays in remotely operated mobile robots. His landmark 2014 paper on remote tracking control of unicycle-type robots, which has garnered 26 citations, demonstrated how two-channel delay-inducing networks could be effectively managed through predictive compensation—a theme he first explored in earlier foundational work from 2010 (21 citations). Oguchi has extended these principles beyond single-robot systems, making substantial contributions to multi-agent consensus control, where he developed delay-compensating frameworks for networks of integrator-dynamic agents with both input and output delays. His 2017 work on sampled-data system stability further broadened the theoretical toolkit available for handling uncertain time-varying delays. More recently, his research has addressed fast consensus in networks of differential-wheeled robots under measurement delays, reflecting a consistent drive to translate theoretical advances into practical robotic applications. Across his body of work, Oguchi has established himself as a rigorous contributor to the challenging problem of reliable, delay-resilient networked control systems.

Research Focus

Key Achievements

6
H-Index
10
Papers
96
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Predictor-Based Remote Tracking Control of a Mobile Robot
26 citations · 2014
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Tokyo Metropolitan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago