Papers
2
Total Citations
17
H-Index
2
About
Ryo Asai is a leading researcher in multirobot systems, specializing in formation control, nonholonomic robotics, and cooperative estimation. His work addresses fundamental challenges in enabling robot teams to operate without global positioning infrastructure, using only local sensor measurements. Asai’s most cited paper, “Formation Control of Nonholonomic Multirobot Systems Over Robot Coordinate Frames and Its Application to LiDAR-Based Robots” (2024, 11 citations), introduces a novel Lie group framework on the special Euclidean group to model nonholonomic constraints and measurements directly in robot coordinate frames, enabling robust formation control without external localization. His second key contribution, “Cooperative reference frame estimation for multi-agent systems via formation control” (2022, 6 citations), presents a distributed method that combines formation control with feature point matching similarity evaluation, allowing agents to estimate a shared global reference frame using only local interactions. This work has significant implications for search-and-rescue, environmental monitoring, and autonomous exploration in GPS-denied environments. Asai’s research bridges theoretical rigor in geometric control with practical LiDAR-based implementations, earning recognition for advancing decentralized multirobot coordination.
Research Focus
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Top Papers
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