Keitaro Naruse
Papers
34
Total Citations
373
H-Index
10
About
Keitaro Naruse is a leading researcher in cloud robotics and networked robotic systems, whose work bridges the gap between distributed computation and autonomous robot cooperation. His major contributions include pioneering QoS-aware robotic streaming workflow allocation for cloud robotics, addressing critical challenges in computation offloading and heterogeneous robot collaboration. His highly cited 2018 paper on this topic (65 citations) and his study of robotic cooperation architectures (63 citations) have shaped the field's understanding of how robots can effectively share computational resources in the cloud. Naruse has also advanced practical applications, notably developing small weeding robots for rice fields—a project inspired by natural duck farming—and investigating their weeding ability and plant damage. His more recent work includes enhanced path planning algorithms (42 citations in 2024), unknown object detection using one-class support vector machines for cloud-robot systems, and highly reliable communication systems for the Internet of Robotic Things. Additionally, he has contributed to model-driven reference architectures for decentralized multicloud heterogeneous robotics and cross-chain platforms for smart cities. With over 280 total citations across his top papers, Naruse's research demonstrates a unique blend of theoretical architecture design and real-world robotic deployment, making him a key figure in advancing cloud-enabled autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1QoS-Aware Robotic Streaming Workflow Allocation in Cloud Robotics Systems65 citations · 2018
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- 3Enhanced Robot Motion Block of A-Star Algorithm for Robotic Path Planning42 citations · 2024
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- 7Development of small weeding robots for rice fields16 citations · 2014
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- 10Implement human-robot interaction via robot's emotion model10 citations · 2017