His work has flown on the International Space Station and is planned to go to the Moon in the coming months.
Research Experience
Assistant Professor of Astronautical Engineering and of Aerospace and Mechanical Engineering at USC Viterbi School of Engineering; Research includes infusing learning-based tools into planning and control for improved efficiency and safety under imperfect knowledge, providing or enhancing safety guarantees for uncertain dynamical systems, considering perception, localization, and information gain in robotic planning, and developing autonomy frameworks for exploration, space, and other extreme environment applications.
Education
2022, Doctoral Degree, Aeronautics and Astronautics (Autonomous Systems), Massachusetts Institute of Technology; 2019, Master's Degree, Aeronautics and Astronautics, Massachusetts Institute of Technology; 2017, Bachelor's Degree, Mechanical Engineering, Columbia University.
Background
Research Interests: Adaptive decision-making, control theory under uncertainty, reinforcement learning, stochastic modeling. Professional Field: Astronautical and Aerospace Engineering. Summary: Focused on developing algorithms for robots to operate autonomously in uncertain, unknown, or unstructured environments, especially when facing limitations in perception, real-time computing demands, and complex or stochastic dynamics.
Miscellany
Office: RTH 305, Ronald Tutor Hall of Engineering, 3710 McClintock Ave., Los Angeles, CA 90089; Contact: kalbee@usc.edu; Links: Research Website and Personal Website.