Daniel T. Larsson

PhD thesis, 2023

Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

A Generalized Information-Theoretic Framework for the Emergence of Hierarchical Abstractions in Resource-Limited Systems.

[BibT_eX]

[DOI]

Entropy, 2022

A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Information-Theoretic Abstractions for Planning in Agents With Computational Constraints.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Information-theoretic abstractions for resource-constrained agents via mixed-integer linear programming.

[BibT_eX]

[DOI]

Proceedings of the CAADCPS '21: Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021

2020

Q-Tree Search: An Information-Theoretic Approach Toward Hierarchical Abstractions for Agents With Computational Limitations.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

An Information-Theoretic Approach for Path Planning in Agents with Computational Constraints.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Nash and Correlated Equilibria for Pursuit-Evasion Games Under Lack of Common Knowledge.

[BibT_eX]

[DOI]

Georgios Kotsalis

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

A hybrid BMI for control of robotic swarms: Preliminary results.

[BibT_eX]

[DOI]

George K. Karavas

Panagiotis K. Artemiadis

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Hierarchical state abstractions for decision-making problems with computational constraints.

[BibT_eX]

[DOI]

Daniel Braun