Papers
2
Total Citations
7
H-Index
2
About
Daisuke Murai is a researcher in swarm robotics, focusing on distributed control and localization for multi-robot systems. His key contributions lie in developing scalable, sensor-driven methods that enable robot swarms to operate autonomously without centralized infrastructure. In his most cited work, "Distributed Range-based Localization for Swarm Robot Systems using Sensor-fusion Technique" (2019, 5 citations), Murai introduces a novel approach that relies solely on inter-robot distance measurements. By dynamically coupling exteroceptive distance data with simple proprioceptive estimation through sensor fusion, his method allows each robot to localize itself relative to its neighbors, enhancing robustness in GPS-denied environments. This work is foundational for applications like search-and-rescue or environmental monitoring. Additionally, his paper "Stochastic Self-organizing Control for Swarm Robot Systems" (2019, 2 citations) explores probabilistic decision-making for emergent collective behaviors. Though early in his career, Murai’s research addresses critical challenges in swarm autonomy—scalability, decentralization, and minimal sensing—making his work valuable for students and researchers advancing resilient, distributed robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stochastic Self-organizing Control for Swarm Robot Systems2 citations · 2019