Resilient autonomy in physical- and knowledge-wise unstructured environments, focusing on perception and planning under uncertainty.
Keywords: integrated planning and learning, path/motion planning, probabilistic inference, machine learning, autonomous mobile robots, planetary exploration
Keio University, Japan
Ph.D. in Engineering, Sep. 2021 - Mar. 2025
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
Kobe University, Japan
B.Eng. in Mechanical Engineering, Apr. 2013 - Mar. 2017
Advisor: Prof. Tsuyoshi Kawanami
CyberAgent AI Lab - Activity Understanding Team, Japan
Apr. 2025 - Present
Research Scientist
Working on human activity understanding and robotics for real-world AI services.
NASA Jet Propulsion Laboratory - Robotic Mobility Group, The United States
Aug. 2024 - Nov. 2024
Research Intern as JVSRP, advised by Dr. Masahiro Ono, Dr. Ashkan Jasour, and Mr. Rohan Thakker
Worked on establishing a sequential decision-making method for resilient autonomy under uncertainty (IEEE ICRA, 2025).
Field AI, The United States
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
Jun. 2022 - Mar. 2023
Research Intern, advised by Dr. Ryo Yonetani and Dr. Tatsunori Taniai
Developed ML-based traversability prediction method for planetary rover navigation (arXiv).
Proposed a path planning method robust against erroneous traversability prediction via ML models, representing multimodal slip distribution for heterogeneous deformable terrains (IEEE ICRA, 2023).
Keio University - Space Robotics Group, Japan
Sep. 2021 - Mar. 2025
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 (IEEE ICRA WS, 2024).
Proposed a sampling-based informative path planner with probabilistic risk inference to actively learn latent traversability for planetary rovers (IEEE RA-L, 2022).
Oregon State University - Manufacturing Process Control Laboratory, The United States
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 (Int. Manuf. Sci. Eng. Conf., 2021 & CIRP Annals, 2022).
Tohoku University - Space Robotics Laboratory, Japan
Apr. 2017 - Mar. 2019
Master Student, Advised by Prof. Kazuya Yoshida, Prof. Kenji Nagaoka, and Prof. Toshinori Kuwahara
Presented a vision-based approach with machine learning for predicting wheel slip risk (Robotica, 2021).
Developed a vision-based traveling state estimation method (wheel slip/sinkage) for rovers using ROS (JSME Conf. Robot. Mechatron., 2019).
Implemented and verified a Kalman-filter-based micro-satellite trajectory estimation method (IAA NE Asia Symp. Small Satell., 2017).
Kobe University - Laboratory of Energy Conversion Engineering, Japan
Apr. 2016 - Mar. 2017
Undergraduate Student, Advised by Prof. Tsuyoshi Kawanami
Built a soft capsule containing phase change material and verified the capacity to keep thermal energy.
Teaching Assistant - Oregon State University, The United States
Spring 2020
ME 413: Computer-aided Design and Manufacturing
IEEE International Conference on Robotics and Automation (ICRA) 2023, 2024
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 - 2025
IEEJ Transactions on Electrical and Electronic Engineering
JSPS Overseas Challenge Program for Young Researchers, Sponsored by Japan Society for the Promotion of Science (JSPS)
Aug. 2024 - Nov. 2024
Apr. 2022 - Mar. 2025
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
Fujiwara Scholarship, Sponsored by Keio University
Oct. 2021 - Mar. 2022
NAMRC 49 and MSEC 2021 Student Support Award, Sponsored by National Science Foundation (NSF)
Apr. 2021
Programming: Python, C++, Julia, MATLAB
Robotics Software: Pytorch, ROS, Git
Language: English, Japanese (Native)