Yuichi Yaguchi
Papers
10
Total Citations
161
H-Index
5
About
Yuichi Yaguchi is a leading researcher at the intersection of cloud robotics, autonomous navigation, and networked robotic cooperation. His most impactful work addresses the critical challenge of computation offloading in cloud robotics systems, with his 2018 paper on QoS-aware robotic streaming workflow allocation (65 citations) pioneering new approaches to handling heterogeneity and robotic cooperation in networked cloud environments. Yaguchi’s foundational study on robotic cooperation architecture (63 citations) has become essential reading for researchers tackling complex multi-robot tasks like disaster management search and rescue. He has made significant contributions to autonomous mobile robot navigation, proposing innovative hierarchized map concepts for local and global path planning that address the growing labor crisis in logistics. His work on data acquisition frameworks for cloud robotics and integration of CORBA interfaces with Pub/Sub messaging systems has advanced the practical implementation of robot systems. More recently, Yaguchi has developed probability-based LIDAR–camera calibration methods for data fusion maps, enabling more efficient 3D mapping and object classification. His research consistently bridges theoretical frameworks with practical deployment, making him a key figure in the evolution of cloud-connected robotic systems.
Research Focus
Key Achievements
Top Papers
- 1QoS-Aware Robotic Streaming Workflow Allocation in Cloud Robotics Systems65 citations · 2018
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- 5Data Acquisition Framework for Cloud Robotics5 citations · 2019
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- 10Architecture and framework for data acquisition in cloud robotics2 citations · 2021