The 70th JSAP Spring Meeting 2023

Presentation information

Oral presentation

FS Focused Session "AI Electronics" » FS.1 Focused Session "AI Electronics"

[16a-A410-1~8] FS.1 Focused Session "AI Electronics"

Thu. Mar 16, 2023 9:00 AM - 11:30 AM A410 (Building No. 6)

Norio Sato(NTT)

9:00 AM - 9:30 AM

[16a-A410-1] [INVITED] Rubber as Physical Reservoir

Ryo Sakurai1 (1.Bridgestone Corp.)

Keywords:reservoir computing, soft robot

Soft materials are characterized by their softness, which makes them safe and absorb external shocks, and many industrial products that take advantage of their softness have been put to practical use as structural materials.
In recent years, soft robots that work in areas close to humans are expected to be put to practical use in order to solve social issues such as nursing care and labor shortages, and soft materials are one of the key components to achieve softness and safety in this context. On the other hand, softness is one of the difficulties to control its motion for the reasons mentioned above. Many previous studies have reported on efforts to use the complex behavior of these soft materials as reservoirs and as resources for information processing.
We introduce our efforts to utilize the characteristics of nonlinearity response and hysteresis, which have been difficulties in the control of soft materials, as information resources for obtaining information necessary for control. As a concrete example, a sensor emulation using a McKibben-type artificial muscle as a physical reservoir will be presented.