1st Year Ph.D. Student at Keio University, Japan
Thank you for visiting my website. I am Masafumi Endo, a 1st year Ph.D. student at Keio University, under the supervision of Prof. Genya Ishigami.
I have been interested in both fundamental and applicational robotic theories for autonomous mobile robots, particularly predictive perception, path/motion planning, and localization for extraterrestrial surface robots, or rovers. My research objective is to create agile mobile robots that have robustness, high efficiency, and adaptability to accomplish autonomous operations even in challenging, unknown environments.
Establish autonomous mobility for wheeled rovers to explore the uncertain planetary surface with aggressiveness and efficiency.
Keywords: sequential decision making, information gathering, motion planning, localization, machine learning, wheeled robots, terramechanics
Keio University, Japan
Sep. 2021 - Present
Ph.D. in Engineering
Supervisor: Prof. Genya Ishigami
Research Area: Robotics, Sequential Decision Making, Motion Planning, Machine Learning, Terramechanics
Oregon State University, The United States
Sep. 2019 - Aug. 2021
M.S. in Robotics
Supervisor: Prof. Burak Sencer
Research Area: Robotics, Trajectory Generation, Machine Learning, Path Planning
Tohoku University, Japan
Apr. 2017 - Mar. 2019
Kobe University, Japan
Apr. 2013 - Mar. 2017
B.Eng. in Mechanical Engineering
Supervisor: Prof. Tsuyoshi Kawanami
Research Area: Thermal Engineering, Phase Change Material
Graduate Research Assistant - Keio University, Japan
Oct. 2021 - Present
Work on the development of a wheeled rover testbed with special mechanisms for next-generation space exploration.
Graduate Research Assistant - OSU, The United States
Sep. 2019 - Aug. 2021
Work on a research project that aims to present a new cycle-time prediction strategy based on machine learning for industrial manipulators.
Engineering Intern - Google Lunar XPRIZE, Team HAKUTO, Japan
Oct. 2017 - Mar. 2018
Built experiment equipment using 3D CAD to verify our noise reduction method for the time-of-flight camera attached on the rover under the lunar sunlight illuminated condition.
Teaching Assistant - OSU, The United States
ME 413: Computer-Aided Design and Manufacturing
Programming: Python, MATLAB and Simulink, C, C++, Julia
Machine Learning: scikit-learn, TensorFlow
Computer Vision: OpenCV, Point Cloud Library, OpenNI
Robotics: ROS, Raspberry Pi, Arduino, SpaceDyn
Other Software: SolidWorks, LaTeX, Microsoft Office (Word, Excel, PowerPoint)
Operating Systems: Ubuntu, Mac OS, Windows
Language: English, Japanese
Japanese Goverment JSPS DC1 Research Fellowship, Sponsored by Japan Society for the Promotion of Science (JSPS)
Apr. 2022 - Mar. 2025
NAMRC 49 and MSEC 2021 Student Support Award, Sponsored by National Science Foundation (NSF)