TOPICS
- Award-Faculty
- 2020
Prof. Yoshihiro Kawahara, Lecturer Ryuma Niiyama, Research Associate Koya Narumi and other researchers received Best Paper Award Runner Up from IEEE International Conference on Soft Robotics
Professor Yoshihiro Kawahara (Department of Electrical Engineering and Information Systems), Lecturer Ryuma Niiyama (Department of Mechano-Informatics, Graduate School of Information Science and Technology), Research Associate Koya Narumi (Interfaculty Initiative in Information Studies) and other researchers received Best Paper Award Runner Up from IEEE International Conference on Soft Robotics (RoboSoft).
IEEE RoboSoft, the conferences on soft robotics, were held online during May 15 - July 15, 2020. Best Paper Award Runner Up was given to the 2nd best paper of 130 accepted papers of the conference.
〈 About awarded research〉
K. Narumi, H. Sato, K. Nakahara, Y. Seong, K. Morinaga, Y. Kakehi, R. Niiyama, and Y. Kawahara, “Liquid Pouch Motors: Printable Planar Actuators Driven by Liquid-to-gas Phase Change for Shape-changing Interfaces,” IEEE International Conference on Soft Robotics (RoboSoft), July 30, 2020 (Best Paper Award Runner Up).
This paper presented a family of thin, lightweight, and flexible actuators that work pneumatically without pneumatic tubes and pumps. Low boiling point liquid inside the air-tight planar film evaporates and actuates the whole structure. In this paper, s well as fabrication methods and mechanical measurement, we demonstrated three applications of electrically driven printable robots, autonomous architecture facade, and shape-changing dresses responsible for human body temperature in collaboration with a fashion brand.
〈Your impression & future plan〉
This paper is a summary of the basic properties for Liquid Pouch Motors, printable and tube-less actuators we have been working on since 2017, which finally involved diverse members from the fields of art and design. Thus we all are very honored to won this award. We will keep on showing other derivatives of this technology in many ways of demonstration.
〈WEB〉
http://robosoft2020.org/