Daniel Larsson

Degrees

• PhD Aerospace Engineering, Georgia Institute of Technology, Atlanta, Georgia, United States
• MS Aerospace Engineering, Arizona State University, Tempe, Arizona, United States
• BS 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

Selected Publications

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. (2025). Communication-Aware Hierarchical Map Compression of Time-Varying Environments for Mobile Robots. IEEE Robotics and Automation Letters, 10(Issue 12). doi:10.1109/lra.2025.3622863
• Larsson, D. T., Maity, D., & Tsiotras, P. (2025). A Dual Approach for Hierarchical Information-Theoretic Tree Abstractions.
• 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., Nguyen, C., & Artemiadis, P. (2020). Modeling and Control of Mid-flight Coupling of Quadrotors: A new concept for Quadrotor cooperation. In 2020 International Conference on Unmanned Aircraft Systems, ICUAS 2020.
• 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).
• Karavas, G. K., Larsson, D. T., & Artemiadis, P. (2017). A hybrid BMI for control of robotic swarms: Preliminary results. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017, 2017.
• 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).

Awards

• Award for Excellence at the Student Interface - Outstanding Faculty
  • College of Engineering, 2025-2026