Masao Yokota

About

Masao Yokota is a pioneering researcher in cognitive robotics and human-robot interaction, whose work centers on enabling natural, intuitive communication between humans and machines. His key research areas include natural language understanding, multimodal command languages, and ubiquitous intelligence, with a particular focus on developing formal languages for robot manipulation. Yokota's most significant contribution is the Mental Image Directed Semantic Theory (MIDST) and its associated formal language L_md, which provides a universal framework for representing and processing spatiotemporal knowledge in distributed intelligent robot networks (DIRN). His seminal paper "RUNA: a multimodal command language for home robot users" (2009, 15 citations) demonstrates practical applications of his theoretical work, while "Computer simulation of human–robot interaction through natural language" (2016, 11 citations) showcases his innovative simulation approaches. With over 70 total citations across his top publications, Yokota has established himself as a key figure in bridging the gap between human cognitive processes and robotic intelligence. His ongoing work on awareness computing and world knowledge grounded in sensory data continues to influence the development of more intuitive and capable robotic systems for everyday human environments.

Research Focus

Key Achievements

Top Papers

1. 1
   RUNA: a multimodal command language for home robot users

   15 citations · 2009
2. 2
   Computer simulation of human–robot interaction through natural language

   11 citations · 2016
3. 3
   Integrated Multimedia Understanding for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory

   9 citations · 2005
4. 4
   Natural language understanding based on mental image description language L md and its application to language-centered robot manipulation

   9 citations · 2008
5. 5
   Towards a Universal Language for Distributed Intelligent Robot Networking

   8 citations · 2006
6. 6
   Computer simulation of mental image processing in natural language understanding by human

   7 citations · 2015
7. 7
   Towards awareness computing under control by world knowledge grounded in sensory data

   7 citations · 2010
8. 8
   Natural Language Understanding and Cognitive Robotics

   5 citations · 2019
9. 9
   Simulation of human awareness control in spatiotemporal language understanding as mental image processing

   3 citations · 2014
10. 10
    Towards a Universal Knowledge Representation Language for Ubiquitous Intelligence Based on Mental Image Directed Semantic Theory

    3 citations · 2006

Key Collaborators

Contact & Links