Taisuke Sumii
Papers
1
Total Citations
12
H-Index
1
About
Taisuke Sumii is a leading researcher in artificial intelligence and human-robot interaction, with a focus on enabling robots to learn and communicate in real-world environments. His key research areas include natural language processing, machine learning, and multi-domain dialogue systems for service robots. Sumii’s most notable contribution is his pioneering work on grounding new words in the physical world, as demonstrated in his highly cited 2010 paper, which has garnered 12 citations. This research outlines an architecture that allows robots to acquire new vocabulary and meanings through interactive, multi-domain dialogues with humans—a critical capability for household and service robots operating in dynamic, unstructured settings. By bridging the gap between linguistic symbols and physical experiences, Sumii has advanced the development of conversational robots that can perform real-world tasks, such as assisting in homes or workplaces. His work underscores the importance of integrating perception, language, and action, making him a key figure in the quest for more adaptive and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1