Space & Planetary Autonomy
We advance intelligent and reliable autonomy for spacecraft and planetary robotic systems operating in challenging and resource-constrained environments. Our research combines physics-informed reinforcement learning, safety-critical guidance and control, and efficient onboard planning to support autonomous space missions and planetary exploration.
- Physics-informed reinforcement learning for onboard spacecraft planning
- Safety-critical guidance and control under mission constraints
- Efficient onboard planning for resource-constrained spacecraft and planetary robots
Representative publications
Publications in this direction will be listed here as they appear. All of our papers are on the Publications page.
Funded projects
-
NASA Early Career Faculty Award (ECF25) Safety-Enabled and Efficient Onboard Planning for Autonomous Spacecraft via Physics-Informed Reinforcement Learning 2026–2029 PI