Development of Rover with ARLISS Requirements and the Examination of the Rate of Acceleration that Causes Damages During a Rocket Launch. - Takuya Saito; Miho Akiyama (J. Robotics Mechatronics, 2019)

A Novel CanSat-Based Implementation of the Guidance Control Mechanism Using Goal-Image Recognition. - Miho Akiyama; Takuya Saito (GCCE, 2020)

Influence of Radio Waves Generated by XBee Module on GPS Positioning Performance. - Miho Akiyama; Takuya Saito (ICCE-TW, 2020)

Goal Recognition Using Deep Learning in a Planetary Exploration Rover Developed for a Contest. - Miho Akiyama; Takuya Saito (ICCE-TW, 2020)

A Study of Image Recognition Rate with and without Padding of 2D Convolutional Layer for Deep Learning in CanSat. - Takuya Saito; Miho Akiyama (GCCE, 2021)

Proposal of Long-Distance Goal Recognition Method Using Deep Learning in CanSat. - Miho Akiyama; Takuya Saito (ICCE-TW, 2021)

Flexible Bandwidth Allocation using OFDM in Mode Forming Optical Access Network. - Miho Akiyama; Hirokazu Kobayashi; Katsushi Iwashita (OFC, 2021)

A Novel Method for Goal Recognition from 10 m Distance Using Deep Learning in CanSat. - Miho Akiyama; Takuya Saito (J. Robotics Mechatronics, 2021)

Proposal of a Method for Inferring the Road Surface from Vibration Using Deep Learning on CanSat. - Takuya Saito; Miho Akiyama (CSCI, 2022)

Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat. - Miho Akiyama; Hiroshi Ninomiya; Takuya Saito (J. Robotics Mechatronics, 2023)