Sunday, January 8, 2023
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]