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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]
Monday, June 1, 2020

Congratulations Ahmad!

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. 

Tuesday, December 17, 2019

Congratulations Ryan!

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