Researcher's Profile

  • Project Lecturer
  • Azumi MAEKAWA
  • Information Somatics
E-mail
azumistar.rcast.u-tokyo.ac.jp
Tel
03-5452-5368
URL

Laboratory HomepageOpen a new window

URL

2024 Master BookOpen a new window

Biography

March 2016 B.Sc. School of Engineering, The University of Tokyo (UTokyo)
March 2018 M.S. School of Engineering, UTokyo
March 2021 Ph.D. School of Engineering, UTokyo
April 2021 Project Assistant Professor, RCAST, UTokyo
October 2022 Assistant Professor, RCAST, UTokyo
November 2023 Project Lecturer, RCAST, UTokyo

Research Interests

My research interest is in exploring methods to interpret and seamlessly connect the physical and psychological boundaries that exist between humans and artifacts from an informational perspective. This research integrates knowledge and technologies from various fields, such as robotics, virtual reality, haptic feedback, machine learning, and cognitive psychology, to reconstruct the interaction between the body and the external world. By doing so, We aim to create new experiences and sensations, as if one's capabilities have been expanded. Through the combination of these technologies, We seek to design new bodily abilities and organic relationships between humans and machines, ultimately supporting behavioral change and mental well-being.

  • Design of new motor abilities through human-machine collaboration
  • Fig.1. Design of new motor abilities through human-machine collaboration
  • Force assistance performed without the user being aware of it
  • Fig.2. Force assistance performed without the user being aware of it
  • Methods for constructing robots using found objects
  • Fig.3. Methods for constructing robots using found objects

Award

  • March 2020 23rd Japan Media Arts Festival Entertainment Division New Face Award
  • April 2020 The ACM CHI 2020 Honorable Mention Award
  • August 2021 The 2021 James Dyson Award National Finalists
  • March 2022 The Augmented Humans (AHs) International Conference 2022 Honorable Mention Award
  • March 2022 25th Japan Media Arts Festival Art Division Jury Selections

Keywords

Human Augmentation, Human-Machine Cooperation, Cyber-Physical Interaction, Skill Transfer

Educational Systems

  • Department of Advanced Interdisciplinary Studies, Graduate school of Engineering

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