Yuki Katsumata
Papers
4
Total Citations
96
H-Index
4
About
Yuki Katsumata is a leading researcher at the intersection of robotics, artificial intelligence, and human–robot interaction (HRI), with a focus on enabling robots to understand and operate seamlessly in human environments. His major contributions center on two key challenges: making robots semantically aware of their surroundings and making them intuitive for non-expert users to command. In his most cited work (45 citations), Katsumata developed a mixed-reality system that allows non-experts to train service robots in customer-facing roles, bridging the cognitive gap between human expectation and robot perception. He has also pioneered semantic mapping techniques—including the SpCoMapGAN framework (16 citations)—that enable robots to assign spatial concepts to places and even complete maps of unobserved areas using global environmental structures (15 citations). His research has been published in top venues like *Advanced Robotics* and *IEEE Robotics and Automation Letters*, and his work on grounding language in spatial cognition is shaping the next generation of domestic and service robots. With a growing citation record and a clear trajectory toward making robots truly collaborative partners, Katsumata is a rising voice in embodied AI and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4