Mixing Determination for Solid Rocket Fuel Production by Peristaltic Mixing Pump Using Packing Method. - Sana Oshino; Iori Terayama; Rie Nishihama; Manabu Okui; Taro Nakamura 001 (IECON, 2022)

Proposal of a decentralized peristaltic movement generation based on actual intestines and verification by content transfer experiment. - Daisuke Matsui; Sana Oshino; Iori Terayama; Rie Nishihama; Manabu Okui; Taro Nakamura 001 (SII, 2022)

Discrimination of Powder Particle Size and Input Amounts for the Estimation of Mixing Using a Peristaltic Mixing Conveyor Imitating an Intestinal Tube. - Iori Terayama; Sana Oshino; Rie Nishihama; Manabu Okui; Taro Nakamura 001 (SII, 2023)

Discrimination of Solid-Liquid Mixtures using a Multisensing System in a Peristaltic Mixing Conveyor that Imitates Intestinal Function. - Takaaki Tanno; Iori Terayama; Ryosuke Adachi; Taro Nakamura 001 (AIM, 2024)

Initial Study Toward Motion Generation by Autonomous Decentralized Control for Peristaltic Mixing and Conveying Device Imitating Intestines. - Ryosuke Adachi; Iori Terayama; Takaaki Tanno; Tomoki Hanamura; Takuya Umedachi; Taro Nakamura 001 (ICIT, 2024)

Construction of Motion Mode Switching System by Machine Learning for Peristaltic Mixing Conveyor Based on Intestinal Movement. - Iori Terayama; Sana Oshino; Rie Nishihama; Manabu Okui; Ryosuke Adachi; Taro Nakamura 001 (IEEE Access, 2024)

Construction of a Mixing State Estimation System in a Peristaltic Mixing Conveyor that Imitates Intestine - Proposal of an Estimation Method to Improve Generalizability for Mixture's Input Conditions -. - Takaaki Tanno; Iori Terayama; Ryosuke Adachi; Rie Nishihama; Taro Nakamura 001 (J. Robotics Mechatronics, 2025)