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Publicatie

ProbAnch: a Modular Probabilistic Anchoring Framework

Boekbijdrage - Boekhoofdstuk Conferentiebijdrage

Modeling object representations derived from perceptual observations, in a way that is also semantically meaningful for humans as well as autonomous agents, is a prerequisite for joint human-agent understanding of the world. A practical approach that aims to model such representations is perceptual anchoring, which handles the problem of mapping sub-symbolic sensor data to symbols and maintains these mappings over time. In this paper, we present ProbAnch, a modular data-driven anchoring framework, whose implementation requires a variety of well-orchestrated components, including a probabilistic reasoning system.
Boek: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence,
Pagina's: 5285 - 5287
ISBN:978-0-9992411-6-5
Jaar van publicatie:2020
Toegankelijkheid:Open