Yutaka Watanobe
Papers
19
Total Citations
256
H-Index
6
About
Yutaka Watanobe is a leading researcher in cloud robotics, multi-robot cooperation, and intelligent robotic systems. His work focuses on enabling robots to work together efficiently in complex, real-world environments—from disaster rescue to industrial inspection. Watanobe has made major contributions to computation offloading in cloud robotics, proposing QoS-aware workflow allocation for networked cloud robotics (65 citations), and has advanced robot path planning with an enhanced A-star algorithm that reduces search nodes and path cost (42 citations). He also developed a one-class SVM-based unknown object detection framework for cloud-robot systems (20 citations) and a highly reliable communication system for the Internet of Robotic Things using AMQP interfaces (19 citations). His research on multi-robot collaboration for disaster rescue has practical implications for tunnel and infrastructure inspection. With over 230 total citations across his most-cited works, Watanobe’s impact is evident in both academic and applied robotics. His notable achievements include pioneering architectures for robotic cooperation in cloud environments and designing frameworks for data acquisition and analog meter reading using deep neural networks. For students and researchers, Watanobe’s work offers a blueprint for integrating cloud computing with autonomous robotics to solve pressing societal challenges.
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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- 7Data Acquisition Framework for Cloud Robotics5 citations · 2019
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