Developing intelligent, safe, and sustainable autonomous systems for space exploration and proximity operations. We advance the frontiers of robotics, guidance, and control to address critical challenges in space debris mitigation, on-orbit servicing, and planetary exploration
Reinforcement learning-enhanced control barrier functions
Real-time safety-critical guidance for spacecraft proximity operations
Multi-objective optimization under uncertainty
Active debris removal technologies
End-to-end autonomous capture and disposal systems
Sustainable spacecraft design principles
Autonomous rendezvous and docking
Uncooperative target inspection and servicing
Multi-vehicle coordination and formation flying
RL-convex hybrid frameworks for Rendezvous and Proximity Operation Missions
Space Debris Mitigation
Ion-beam based planetary defense and debris deorbiting (To address the limitations of iBeam found by our JPL studies)
We welcome motivated graduate students interested in autonomous systems, space robotics, and safety-critical control. Background in robotics, astrodynamics, control theory, and machine learning is preferred.
Contact: minduli@illinois.edu