Summary
Keenan Albee is an Assistant Professor and autonomy researcher with 11 years of experience designing algorithms that enable robots to operate in extreme, unstructured environments such as the Moon, microgravity, and underwater. He blends optimal control, reinforcement learning, and motion planning with perception-aware designs to produce environment-aware, real-world-ready autonomy. Prior to academia he led robotics research at NASA JPL’s Maritime and Multi-Agent Autonomy Group and completed a Ph.D. in Autonomous Systems at MIT, bringing a strong systems-engineering mindset to algorithm development. His work emphasizes safe, robust planning under uncertainty and kinodynamic constraints, informed by frequent hands-on experimentation with spaceflight-relevant platforms. Based in Los Angeles, he pairs mission-focused research with practical engineering experience across NASA centers and industry, and often tackles problems where conventional planners fail.
11 years of coding experience
2 years of employment as a software developer
Ph.D. Autonomous Systems, Ph.D. Autonomous Systems at Massachusetts Institute of Technology
Franklin High School
B.S. Mechanical Engineering magna cum laude, B.S. Mechanical Engineering magna cum laude at Columbia University
Russian, Spanish