Ryosuke Kawanishi
Shizuoka University, Mitsubishi Electric (Japan), Chubu University
Papers
11
Total Citations
100
H-Index
6
About
Ryosuke Kawanishi is a robotics researcher whose work spans autonomous mobile robot navigation, 3D environmental modeling, and robotic manipulation. His most influential contributions center on leveraging omnidirectional cameras to enable robots to perceive, map, and navigate complex real-world environments. Beginning with foundational work in 2008–2009, Kawanishi developed novel methods for constructing 3D environment models from omnidirectional image sequences, with his early papers collectively amassing over 38 citations and establishing him as a contributor to the simultaneous localization and mapping (SLAM) field. A particularly notable application of this expertise is his 2011 work on earthworm-inspired pipe inspection robots capable of self-localization within confined pipe infrastructure—a practically significant advance for maintaining gas and water utilities. Kawanishi has also made meaningful contributions to industrial robotics, investigating multi-gripper bin-picking strategies that adapt to varying object densities, earning 13 citations, and contributing to the Amazon Picking Challenge 2016 with a cooperative dual-robot system. Across his career, his research consistently addresses the challenge of enabling robots to operate autonomously and intelligently in unstructured, real-world environments, bridging computer vision and practical robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Construction of 3D Environment Model from an Omni-Directional Image Sequence13 citations · 2008
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