Sei Ikeda — accepted AI-conference papers

2025

Reconfigurable Soft Pneumatic Actuators Using Multi-Material Self-Healing Polymers

Shota Kosaka, Kentaro Kimura, Seiichi Yamamoto, Hiroki Ishizuka, Yoichi Masuda, Parinya Punpongsanon +2

RA-L 2025

Self-healing polymers, which can autonomously repair damage or be repaired through simple treatments, have garnered attention due to their flexibility in addressing damage and enabling long-term use in soft robotics. Many studies on the application of self-healing polymers to soft robotics have focu

Cited by 3 Source ↗Scholar ↗

2023

Selective Voltage Application to Connected Loads Using Soft Matter Computer Based on Conductive Droplet Interval Design

Yuki Hashimoto, Hiroki Ishizuka, Takumi Kawasetsu, Takato Horii, Sei Ikeda, Osamu Oshiro

RA-L 2023

Soft matter computers (SMCs) are promising control and computation mechanisms that do not use rigid materials. In such mechanisms, conductive droplets are used to switch the state of the voltage applied to connected loads, such as in an electric actuator. Without a complex structure, an SMC can only

Cited by 2 Source ↗Scholar ↗