Tutomu Murase
Papers
8
Total Citations
31
H-Index
4
About
Tutomu Murase is a leading researcher in autonomous mobile robotics and wireless communication, with a primary focus on improving Quality of Service (QoS) in ad hoc networks formed by multiple Autonomous Mobile Robots (AMRs). His work addresses the critical challenge of maintaining high-throughput, interference-free communication as robots navigate dynamic environments. Murase’s major contributions include pioneering cooperative mobility control methods, such as longcut route selection and relay node optimization, which enable AMRs to act as relay communication nodes to mitigate interference from external networks and enhance system throughput. His most-cited paper (2021, 10 citations) proposes a method for using neighboring AMRs as relays to improve QoS between IEEE802.11 access points and robots, while subsequent studies (2023, 5 citations each) advance beamforming and interference avoidance strategies. Murase has also explored link aggregation for cooperative data transmission and, most recently, federated reinforcement learning for robot navigation (2025). His work, spanning from theoretical throughput evaluations to real-machine experiments, has garnered over 30 citations, establishing him as a key innovator in scalable, communication-aware robotic systems.
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