Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniel T. Larsson"'
Publikováno v:
Entropy, Vol 24, Iss 6, p 809 (2022)
In this paper, a generalized information-theoretic framework for the emergence of multi-resolution hierarchical tree abstractions is developed. By leveraging ideas from information-theoretic signal encoding with side information, this paper develops
Externí odkaz:
https://doaj.org/article/67c3b696de164aad94fce14c0b80f2c9
Publikováno v:
IEEE Robotics and Automation Letters. 6:7651-7658
In this paper, we develop a framework for path-planning on abstractions that are not provided to the agent a priori but instead emerge as a function of the available computational resources. We show how a path-planning problem in an environment can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56614b5e3fb4cf5da53f6ad7dfc9177
https://doi.org/10.1109/lra.2021.3099995
https://doi.org/10.1109/lra.2021.3099995
Publikováno v:
CAADCPS@CPSIoTWeek
In this paper, a mixed-integer linear programming formulation for the problem of obtaining task-relevant, multi-resolution, graph abstractions for resource-constrained agents is presented. The formulation leverages concepts from information-theoretic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f387d786643bc23fd116e6912eb9bda0
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
Multirotor vehicles, quadrotors specifically, have formed a fast-growing field in robotics, with the range of applications spanning from surveillance and reconnaissance to agriculture and large area mapping. Although in most applications, a single qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5169d80ba65e2772cd33c1bdb7d417ae
https://doi.org/10.1109/icuas48674.2020.9214024
https://doi.org/10.1109/icuas48674.2020.9214024
In this paper, we develop a framework to obtain graph abstractions for decision-making by an agent where the abstractions emerge as a function of the agent's limited computational resources. We discuss the connection of the proposed approach with inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a992906d72cc9aa221c09c3340a2c218
Publikováno v:
CDC
The majority of work in pursuit-evasion games assumes perfectly rational players who are omnipotent and have complete knowledge of the environment and the capabilities of other agents and, consequently, are correct in their assumption of the game tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11dbf7e9ef35bd7152b107f8c65d8e14
https://doi.org/10.1109/cdc.2018.8619168
https://doi.org/10.1109/cdc.2018.8619168
Publikováno v:
IROS
Human Swarm Interaction (HSI) is a new field which relates to the effective control of robotic swarms by human operators. The iterature has shown that the control of swarms can become quite complicated. On the other hand, Brain Machine Interfaces (BM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160435d3daffababaab5c5f0ec2ea68c
https://doi.org/10.1109/iros.2017.8206390
https://doi.org/10.1109/iros.2017.8206390
Publikováno v:
2017 IEEE 56th Annual Conference on Decision and Control (CDC)
CDC
CDC
In this semi-tutorial paper, we first review the information-theoretic approach to account for the computational costs incurred during the search for optimal actions in a sequential decision-making problem. The traditional (MDP) framework ignores com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cebdfd72e076bdae093e89f69e5180a6