Papers

3

Total Citations

15

H-Index

3

About

Shunsuke Izuhara is a rising roboticist whose work bridges the frontiers of multi-agent systems and micro-mechatronics. His primary research areas include decentralized swarm navigation, control barrier functions (CBFs), and miniature robotic actuation. Izuhara’s most impactful contribution is a decentralized leader-follower control method for UAV swarms that preserves network connectivity without requiring explicit communication—a critical advance for operations in GPS-denied or communication-limited environments. This work, published in 2023, has already garnered 7 citations, signaling strong interest from the robotics community. In parallel, he has made notable strides in micro-robotics, designing a miniature robot finger driven by a novel micro linear ultrasonic motor that enables precise, dexterous manipulation at the millimeter scale. His 2018 paper on this topic has accumulated 5 citations. Most recently, Izuhara has developed a computationally efficient collision avoidance method for multi-robot systems that integrates collision cones with CBF-based constraints, eliminating the need for online numerical optimization. This work promises to enable faster, more scalable coordination among large robot teams. With a growing citation record and a clear trajectory toward practical, real-world robotic systems, Izuhara is establishing himself as a key innovator in safe, decentralized robot control.

Research Focus

Key Achievements

3
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Control Barrier Function Based Decentralized UAV Swarm Navigation While Preserving Connectivity Without Explicit Communication
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Kyoto University of Advanced Science, Toyohashi University of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago