Satoshi Mori
Papers
3
Total Citations
12
H-Index
3
About
Satoshi Mori is a researcher in robotics and human-robot interaction, with a focused expertise in enabling service robots to recognize objects through natural language dialogue. His work bridges computer vision and cognitive robotics, particularly in developing systems where robots can ask clarifying questions about an object’s shape, color, or function when autonomous detection fails. Mori’s key contribution is the creation of an ontology for interactive object recognition—a structured knowledge framework that allows robots to understand and reason about human descriptions of objects. This ontology enables a helper robot to fetch requested items by engaging in verbal exchanges with users, dynamically refining its understanding based on partial or ambiguous descriptions. His most-cited paper (2013, 5 citations) demonstrates this approach for service robots, while his 2011 work (4 citations) explores how robots interpret shape descriptions. Though his citation counts are modest, Mori’s research addresses a critical challenge in assistive robotics: making machines that can collaborate with humans through natural conversation. His ontology-based method represents a thoughtful step toward more intuitive, user-friendly service robots capable of operating in unstructured home environments.
Research Focus
Key Achievements
Top Papers
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