• Keio University, Japan

Ph.D. in Mechanical Engineering (Sep. 2021 - Present)

Advisor: Prof. Genya Ishigami

• Oregon State University, The United States

M.S. in Robotics (Sep. 2019 - Aug. 2021)

Advisor: Prof. Burak Sencer

• Tohoku University, Japan

M.Eng. in Aerospace Engineering (Apr. 2017 - Mar. 2019)

Advisor: Prof. Kazuya Yoshida and Prof. Kenji Nagaoka

• Field AI, The United States

Project: Robotic Autonomy in Challenging Environments

Oct. 2023 - Dec. 2023

Research Intern, advised by Dr. David D. Fan

• Worked on establishing reliable robotics autonomy in challenging environments.

• OMRON SINIC X Corporation, Japan

Project: Study on Leveraging Machine Learning in Path Planning Algorithms

Oct. 2022 - Mar. 2023

Part-time, advised by Dr. Ryo Yonetani and Dr. Tatsunori Taniai

• Developing ML-based traversability prediction method for planetary rover navigation.

Project: Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction

Jun. 2022 - Sep. 2022

Research Intern, advised by Dr. Ryo Yonetani and Dr. Tatsunori Taniai

• Proposed a new path planning method robust against erroneous traversability prediction via ML models.

• Space Robotics Group, Keio University, Japan

Project: BenchNav: Simulation Platform for Off-road Navigation Algorithms

Mar. 2024 - Present

JSPS DC1 Research Fellow, advised by Prof. Genya Ishigami

• Developed a Pytorch-based simulation platform for benchmarking off-road navigation algorithms with built-in ML models for probabilistic traversability prediction.

Project: Active Traversability Learning via Risk-aware Information Gathering

Sep. 2021 - Mar. 2022

JSPS DC1 Research Fellow, advised by Prof. Genya Ishigami

• Proposed a new sequential decision-making algorithm to learn latent traversability for planetary exploration rovers on unexplored terrains.

• Designed a sampling-based informative path planning algorithm with probabilistic risk inference.

• Manufacturing Process Control Laboratory, Oregon State University, The United States

Project: Machining Cycle-time Prediction by Data-driven CNC Interpolator Modeling

Sep. 2019 - Aug. 2021

Graduate Research Assistant, advised by Prof. Burak Sencer

• Developed a cycle-time prediction method in combination with an analytical dynamics model and ML architecture for CNC machines. 

• Space Robotics Laboratory, Tohoku University, Japan

Project: Machine Learning-based Slip Prediction for a Wheeled Mobile Robot

Oct. 2017 - Mar. 2019

Advised by Prof. Kazuya Yoshida and Prof. Kenji Nagaoka

• Presented a vision-based approach with machine learning for predicting wheel slip with application to planetary exploration.

• Developed a testbed of a four-wheeled space exploration rover using ROS.

Project: Construction of a GPS Simulator for a Satellite Ground Evaluation Environment

Apr. 2017 - Sep. 2017

Advised by Prof. Toshinori Kuwahara

• Implemented and verified a Kalman-filter-based micro-satellite trajectory estimation algorithm using the simulator.

• JSPS Overseas Challenge Program for Young Researchers, Sponsored by Japan Society for the Promotion of Science (JSPS)

Aug. 2024 - Nov. 2024

• Research Encouragement Scholarship for Graduate Students, Sponsored by Keio University

Apr. 2024 - Mar. 2025

• Research Encouragement Scholarship for Graduate Students, Sponsored by Keio University

Apr. 2023 - Mar. 2024

• JEES/Mitsubishi Corporation Scholarship, Sponsored by JEES and Mitsubishi Corporation

Apr. 2023 - Aug. 2024

• JSPS Research Fellowship for Young Scientists DC1, Sponsored by Japan Society for the Promotion of Science (JSPS)

Apr. 2022 - Mar. 2025

• Fujiwara Scholarship, Sponsored by Keio University

Oct. 2021 - Mar. 2022