Kazuki Takahashi

Utsunomiya University, Chiba Institute of Technology

Papers

3

Total Citations

20

H-Index

3

About

Kazuki Takahashi is a robotics researcher whose work focuses on multi-robot coordination, autonomous navigation, and human-robot cooperation. His most influential contribution, "Dynamic Partitioning Strategies for Multi-Robot Patrolling Systems" (2019, 13 citations), addresses the critical challenge of task assignment in multi-robot mobile patrolling. By employing a territorial approach, Takahashi's work enables robots to efficiently detect incoming visitors through dynamic environmental monitoring, advancing the field of distributed robotic systems. In "Development of Edge-Node Map Based Navigation System Without Requirement of Prior Sensor Data Collection" (2020, 4 citations), he proposed a novel framework that creates navigation maps from electronic maps, eliminating the need for prior sensor data collection—a significant step toward more practical and accessible autonomous navigation. Earlier, in "Novel trajectory control for human cooperation robot based on behavior mode switching" (2007, 3 citations), Takahashi explored trajectory control systems for robots designed to assist elderly and physically handicapped individuals, aiming to achieve smoother human-robot interaction. His work bridges theoretical robotics with real-world applications, from patrolling to assistive technology, and continues to influence researchers in autonomous systems and human-robot collaboration.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Partitioning Strategies for Multi-Robot Patrolling Systems
13 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Utsunomiya University, Chiba Institute of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago