Vision-based Automatic Forming of Rheological Objects Using Deformation Transition Graphs. - Shinichi Tokumoto; Takuya Saito; Shinichi Hirai (ICRA, 2001)

Development of WR-X Vision, Image Analysis Accelerator for Robots. - Takuya Saito; Yoichi Muraoka (ESA, 2007)

Development of Alice, a High-performance Robot Controller Extended by Pico-ITX. - Takuya Saito; Yoichi Muraoka (ESA, 2009)

Interactive image composition through draggable objects. - Yuichiro Yamaguchi; Takuya Saito; Yosuke Bando; Bing-Yu Chen 004; Tomoyuki Nishita (SIGGRAPH ASIA Sketches, 2009)

Examination of Data Transmission Adapting to Density of Sensor in Triage Network. - Takuya Saito; Hiroki Tamura; Yuto Toguchi; Hiroshi Shigeno (BWCCA, 2011)

A Energy Efficient Data Collection Method by Two Types Routes Selection in Triage Networks. - Takuya Okamoto; Takuya Saito; Hiroshi Shigeno (AINA, 2013)

Development of method to extend radio wave communication range under the sea. - Takuya Saito; Azumi Takahashi; Masayoshi Ozawa; Etsuro Shimizu (SMC, 2014)

Characteristic analysis of UHF band propagation channel form under the sea. - Azumi Takahashi; Takuya Saito; Masayoshi Ozawa; Etsuro Shimizu (SMC, 2014)

Audio Classification of Bit-Representation Waveform. - Masaki Okawa; Takuya Saito; Naoki Sawada; Hiromitsu Nishizaki (INTERSPEECH, 2019)

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)

Semi-automated brain responses in communication: A magnetoencephalographic hyperscanning study. - Kazuyoshi Takano; Hayato Watanabe; Kazuyori Yagyu; Atsushi Shimojo; Jared Boasen; Yui Murakami; Hideaki Shiraishi; Koichi Yokosawa; Takuya Saito (EMBC, 2020)

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)

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)