Daniel Larsson

Interests

Research

autonomy, decision-making under uncertainty, path-planning, information-limited control, information-theoretic abstraction; representations for autonomous systems; artificial intelligence, optimization, inference and estimation, data compression, frameworks for decision and perception in resource-limited systems, information-theoretic compression

Courses

Scholarly Contributions

Chapters

• Larsson, D. T., Maity, D., & Tsiotras, P. (2023). A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions. In Computation-Aware Algorithmic Design for Cyber-Physical Systems(pp 101--138). Springer International Publishing.

Journals/Publications

• Larsson, D. T., Maity, D., & Tsiotras, P. (2022). A Generalized Information-Theoretic Framework for the Emergence of Hierarchical Abstractions in Resource-Limited Systems. Entropy, 24(6).
• Larsson, D. T., Maity, D., & Tsiotras, P. (2021). Information-Theoretic Abstractions for Planning in Agents With Computational Constraints. IEEE Robotics and Automation Letters, 6(4), 7651-7658.
• Larsson, D. T., Maity, D., & Tsiotras, P. (2020). Q-Tree Search: An Information-Theoretic Approach Toward Hierarchical Abstractions for Agents With Computational Limitations. IEEE Transactions on Robotics, 36(6), 1669-1685.

Proceedings Publications

• Larsson, D. T., Asgharivaskasi, A., Lim, J., Atanasov, N., & Tsiotras, P. (2023). Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning. In 2023 IEEE International Conference on Robotics and Automation (ICRA).
• Larsson, D. T., Maity, D., & Tsiotras, P. (2021). Information-theoretic abstractions for resource-constrained agents via mixed-integer linear programming. In Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems.
• Larsson, D. T., Kotsalis, G., & Tsiotras, P. (2018). Nash and Correlated Equilibria for Pursuit-Evasion Games Under Lack of Common Knowledge. In 2018 IEEE Conference on Decision and Control (CDC).
• Larsson, D. T., Braun, D., & Tsiotras, P. (2017). Hierarchical state abstractions for decision-making problems with computational constraints. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC).