Daniel Larsson
- Assistant Professor, Aerospace-Mechanical Engineering
- Member of the Graduate Faculty
Contact
- (520) 621-2231
- Aerospace & Mechanical Engr., Rm. 301
- Tucson, AZ 85721
- dlarsson@arizona.edu
Degrees
- Ph.D. Aerospace Engineering
- Georgia Institute of Technology, Atlanta, Georgia, United States
- M.S. Aerospace Engineering
- Arizona State University, Tempe, Arizona, United States
- B.S. Aerospace Engineering (Aeronautics)
- Arizona State University, Tempe, Arizona, United States
Work Experience
- Georgia Institute of Technology (2023)
- Georgia Institute of Technology (2017 - 2023)
- Georgia Institute of Technology (2016 - 2017)
- Arizona State University, Tempe, Arizona (2016)
- Arizona State University, Tempe, Arizona (2014 - 2016)
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
2024-25 Courses
-
Intro Adv Linear Control Thry
AME 558 (Spring 2025) -
Research
AME 900 (Spring 2025) -
Research
AME 900 (Fall 2024) -
Stab+Ctl Aero Vehicles
AME 427 (Fall 2024)
2023-24 Courses
-
Independent Study
AME 599 (Summer I 2024) -
Intro Adv Linear Control Thry
AME 558 (Spring 2024)
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).
