DASC Lab UMich
Distributed Autonomous Systems and Control Lab
The Distributed Autonomous Systems and Control Laboratory (3010 Ford Robotics Building) is directed by Dimitra Panagou.
The lab's research focuses on advancing planning, learning, and control methods for autonomous robotic systems, with a strong emphasis on safety, resilience, and provable guarantees. We address real-world challenges in robotics, including multi-agent, networked, and sensor-based systems, operating in uncertain, dynamic, or adversarial environments. Our interests include nonlinear systems, estimation, risk-aware decision making, learning-based control, uncertainty quantification, and control under constraints, with applications across aerial, ground, marine, and space domains.
If you are interested to join our lab, get in touch with Prof. Panagou or some of the PhD lab members.
News
- Jun 15, 2025: Three papers accepted at IROS 2025
- May 22, 2025: Prof. Panagou Delivers Keynote Talk at ICRA 2025
- Apr 11, 2025: Our paper on Certifiably-Correct Mapping is accepted at RSS 2025
- Jan 27, 2025: Two papers accepted at ICRA 2025
- Dec 17, 2024: Prof. Panagou Delivers Plenary Talk at CDC 2024
- Jul 24, 2024: Four papers accepted at CDC 2024
- Jul 14, 2024: Our paper won IEEE TCAC Best Student Paper Award!
Recent Publications
Fusion of Indirect Methods and Iterative Learning for Persistent Velocity Trajectory Optimization of a Sustainably Powered Autonomous Surface Vessel
IEEE Conference on Control Technology and Applications (CCTA) 2025
meSch: Multi-Agent Energy-Aware Scheduling for Task Persistence
IEEE/RSJ IROS 2025
Conformal Prediction in the Loop: Risk-Aware Control Barrier Functions for Stochastic Systems with Data-Driven State Estimators
IEEE Control Systems Letters 2025
