Yuto Mori
Papers
5
Total Citations
92
H-Index
4
About
Yuto Mori is a leading researcher in assistive robotics and humanoid systems, with a career dedicated to bridging perception and action for real-world service applications. His foundational work on multi-cue 3D object recognition, published in 2007 (43 citations), established a knowledge-based vision subsystem that enables humanoid robots to navigate and manipulate objects in unstructured environments. Mori’s major contributions center on system integration for daily assistive robots, as demonstrated in his highly cited 2010 paper (31 citations), where he developed a unified software framework for tidying and cleaning rooms. This work integrated recognition and motion generation functions, incorporating failure detection and recovery—a critical step toward practical home robotics. His 2009 study further advanced this paradigm by designing task-relevant knowledge to tightly couple action and recognition subsystems. More recently, Mori has expanded into robotic walkers for aging populations, developing an assistance level adjustment function (2024) that adapts support in real time based on user load. With over 90 cumulative citations, Mori’s research consistently addresses the core challenge of making robots capable, safe, and useful in daily human environments.
Research Focus
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Top Papers
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