Toward an idiomatic framework for cognitive robotics

Malte Rørmose Damgaard; Rasmus Pedersen; Thomas Bak

doi:10.1016/j.patter.2022.100533

Toward an idiomatic framework for cognitive robotics

Malte Rørmose Damgaard^*, Rasmus Pedersen, Thomas Bak

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

3 Citations (Scopus)

33 Downloads (Pure)

Abstract

Inspired by the “cognitive hourglass” model presented by the researchers behind the cognitive architecture called Sigma, we propose a framework for developing cognitive architectures for cognitive robotics. The main purpose of the proposed framework is to ease development of cognitive architectures by encouraging cooperation and re-use of existing results. This is done by proposing a framework dividing development of cognitive architectures into a series of layers that can be considered partly in isolation, some of which directly relate to other research fields. Finally, we introduce and review some topics essential for the proposed framework. We also outline a set of applications.

Original language	English
Article number	100533
Journal	Patterns
Volume	3
Issue number	7
Pages (from-to)	1-18
Number of pages	18
DOIs	https://doi.org/10.1016/j.patter.2022.100533
Publication status	Published - 8 Jul 2022

Bibliographical note

Keywords

DSML2: Proof-of-concept: Data science output has been formulated, implemented, and tested for one domain/problem
cognitive architecture
cognitive robotics
framework
message-passing algorithm
probabilistic graphical model
probabilistic inference
probabilistic programming
probabilistic programming language
robotics
stochastic variational inference
variational inference

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10.1016/j.patter.2022.100533Licence: CC BY 4.0

Open Access articleFinal published version, 2.35 MBLicence: CC BY 4.0

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Toward an idiomatic framework for cognitive robotics

Abstract

Bibliographical note

Keywords

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A Probabilistic Programming Idiom for Active Knowledge Search

Study of Variational Inference for Flexible Distributed Probabilistic Robotics

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