Papers
20
Total Citations
163
H-Index
7
About
Kazunori Sakurama is a robotics and control systems researcher whose work spans bio-inspired locomotion, multi-robot coordination, and autonomous swarm systems. His early career explored biologically motivated control, most notably demonstrated in his widely cited 2002 work on quadruped robot locomotion using neural oscillator networks, which achieved dynamic walking on irregular terrain and running on flat surfaces — earning 48 citations and establishing him as a contributor to embodied robotics. Sakurama subsequently shifted focus toward multi-robot systems, developing foundational frameworks for generalized coordination that unify diverse cooperative tasks such as consensus, formation control, and area surveillance under a single mathematical architecture. His contributions to swarm robotics include distributed algorithms for multi-source seeking and formation control using proximity sensors, addressing real-world challenges like chemical leak detection and fire localization. More recently, his research has advanced nonholonomic formation control using Lie group theory, with direct applications to LiDAR-equipped robots, reflecting growing mathematical sophistication in his approach. His work on cooperative reference frame estimation further demonstrates his commitment to practical, distributed solutions. Across more than two decades, Sakurama's research has progressively bridged biological inspiration, rigorous control theory, and scalable multi-robot applications.
Research Focus
Key Achievements
Top Papers
- 1Dynamic walking and running of the quadruped using neural oscillator48 citations · 2002
- 2Generalized Coordination of Multi-robot Systems19 citations · 2021
- 3Formation Control of Swarm Robots with Multiple Proximity Distance Sensors15 citations · 2018
- 4Source seeking by distributed swarm robots with sample variance control11 citations · 2016
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- 6Generalized Coordination of Multi-robot Systems9 citations · 2021
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