Kentaro Kobayashi

Meijo University

Papers

2

Total Citations

4

H-Index

2

About

Kentaro Kobayashi is a researcher specializing in autonomous decentralized control systems for mobile robots and drones, with a particular focus on wireless communication challenges. His work addresses critical issues in CSMA/CA (Carrier Sense Multiple Access with Collision Avoidance)-based networks, where packet collisions from hidden terminals and overlapping transmissions degrade control quality. Kobayashi’s major contributions include developing predictive information transfer methods that mitigate packet loss and enhance consensus control performance in multi-agent systems. His 2023 papers, “A study on predictive information transfer for CSMA/CA-based autonomous decentralized control” and “Effectiveness of Information Transfer on Control Quality of CSMA/CA-Based Autonomous Decentralized Control,” each with 2 citations, propose simple yet effective solutions to improve reliability in wireless communication for autonomous agents. By tackling the intersection of wireless networking and decentralized control, Kobayashi’s work is foundational for advancing robust coordination in swarms of robots and drones. His research is particularly notable for its practical approach to real-world constraints, offering scalable strategies that could transform applications in disaster response, surveillance, and industrial automation. For students and researchers, Kobayashi’s insights into information transfer and collision avoidance represent a vital step toward resilient autonomous systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A study on predictive information transfer for CSMA/CA-based autonomous decentralized control
2 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Meijo University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago