News

We recently presented the following papers at the IEEE Conference on Decision and Control held in Cancun, Mexico in December, 2022.

• A. Downie, B. Gharesifard, and S. L. Smith. A Programming Approach for Worst-case Studies in Distributed Submodular Maximization. [DOI] [PDF]
   
• C. Wang, Y. Meng, S. L. Smith, and J. Liu. Data-Driven Learning of Safety-Critical Control with Stochastic Control Barrier Functions. [DOI] [arXiv]
   
• F. Wang, C. Nielsen, and S. L. Smith. A Pursuit Evasion Approach for Avoiding an Inattentive Human in the Presence of a Static Obstacle. [DOI] [PDF]
   
• R. Li, J. W. Simpson-Porco, and S. L. Smith. Data-Driven Model Predictive Control for Linear Time-Periodic Systems. [DOI] [arXiv]
   
• S. Dutta, N. Wilde, and S. L. Smith. Informative Path Planning in Random Fields via Mixed Integer Programming. [DOI] [arXiv]
   
• Y. Cai, A. Dahiya, N. Wilde, and S. L. Smith. Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. [DOI] [PDF] [arXiv]
   
• A. Downie, B. Gharesifard, and S. L. Smith. Optimistic Greedy Strategies for Partially Known Submodular Functions. [DOI] [arXiv]

• Our paper on Safe swerve maneuvers in autonomous driving appeared in IEEE Open Journal on Intelligent Transportation Systems.
• Our paper on Allocating operators for multi-robot assistance appeared in IEEE Transactions on Control of Network Systems.
• Our paper on learning submodular objectives for team orienteering appeared in IEEE Robotics and Automation Letters.

Alex completed his PhD degree! Congratulations!

Rodrigue, Anni, and Sara recently joined the lab as Master's students. Welcome!

Nils Wilde and Armin Sadeghi both completed their PhD degrees!  Congratulations!

Ahmad Bilal Asghar completed his PhD in May 2020 and is now a postdoctoral fellow at the University of Toronto in the Space & Terrestrial Autonomous Robotic Systems (STARS) Laboratory. 

Our results on Improving user specifications for robot behavior through active preference learning: Framework and evaluationhave appeared in the International Journal of Robotics Research (IJRR).  The preprint is available on arXiv.

Florence Tsang has completed her Master's degree!  Her thesis is on Learning a Motion Policy to Navigate Environments with Structured Uncertainty.

Ryan De Iaco completed his Master's degree in Electrical & Computer Engineering! He will be starting at Waymo in the new year. Congratulations!

Our paper on Satisfiability Modulo Theory-based motion planning appeared in Institute of Electrical and Electronics Engineers (IEEE) Transactions on Robotics.