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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face Chen, J; Chen, Y; Cohn, AG. - : Elsevier, 2022 BASE Show details 2 Categorisation, Typicality & Object-Specific Features in Spatial Referring Expressions Richard-Bollans, A; Gómez Álvarez, L; Cohn, AG. - : Association for Computational Linguistics, 2020 BASE Show details 3 Modelling the Polysemy of Spatial Prepositions in Referring Expressions Richard-Bollans, A; Gomez Alvarez, L; Cohn, AG. - : IJCAI Organization, 2020 BASE Show details 4 Investigating the Dimensions of Spatial Language Richard-Bollans, A; Gómez Álvarez, L; Bennett, B. - 2019 BASE Show details 5 The Role of Pragmatics in Solving the Winograd Schema Challenge Richard-Bollans, AL; Gomez Alvarez, L; Cohn, AG. - : CEUR Workshop Proceedings, 2018 BASE Show details 6 Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision Alomari, M; Duckworth, P; Hogg, DC. - : AAAI Press, 2017 BASE Show details 7 Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands Alomari, M; Duckworth, P; Hawasly, M. - : The Association for Computational Linguistics, 2017 BASE Show details 8 Natural Language Acquisition and Grounding for Embodied Robotic Systems Duckworth, P; Al-Omari, M; Hogg, DC. - : Association for the Advancement of Artificial Intelligence, 2017 BASE Show details 9 Grounding language in perception for scene conceptualization in autonomous robots Dubba, KSR; De Oliveira, MR; Lim, GH; Kasaei, H; Lopes, LS; Tomé, A; Cohn, AG. - : AI Access Foundation, 2014 Abstract: In order to behave autonomously, it is desirable for robots to have the ability to use human supervision and learn from different input sources (perception, gestures, verbal and textual descriptions etc). In many machine learning tasks, the supervision is directed specifically towards machines and hence is straight forward clearly annotated examples. But this is not always very practical and recently it was found that the most preferred interface to robots is natural language. Also the supervision might only be available in a rather indirect form, which may be vague and incomplete. This is frequently the case when humans teach other humans since they may assume a particular context and existing world knowledge. We explore this idea here in the setting of conceptualizing objects and scene layouts. Initially the robot undergoes training from a human in recognizing some objects in the world and armed with this acquired knowledge it sets out in the world to explore and learn more higher level concepts like static scene layouts and environment activities. Here it has to exploit its learned knowledge and ground language into perception to use inputs from different sources that might have overlapping as well as novel information. When exploring, we assume that the robot is given visual input, without explicit type labels for objects, and also that it has access to more or less generic linguistic descriptions of scene layout. Thus our task here is to learn the spatial structure of a scene layout and simultaneously visual object models it was not trained on. In this paper, we present a cognitive architecture and learning framework for robot learning through natural human supervision and using multiple input sources by grounding language in perception. URL: http://eprints.whiterose.ac.uk/81156/8/QRR_AAAI_preprint-no-copyright.pdf http://eprints.whiterose.ac.uk/81156/ BASE Hide details 10 Interactive semantic feedback for intuitive ontology authoring Denaux, R; Thakker, DA; Dimitrova, V. - : IOS Press, 2012 BASE Show details 11 From Video to RCC8: Exploiting a Distance Based Semantics to Stabilise the Interpretation of Mereotopological Relations Sridhar, M; Cohn, AG; Hogg, DC. - : Springer, 2011 BASE Show details 12 The automated evaluation of inferred word classifications Hughes, J; Atwell, E. - : John Wiley & Sons, 1994 BASE Show details 13 Online perceptual learning and natural language acquisition for autonomous robots Alomari, M; Li, F; Hogg, DC. - : Elsevier, 1479 BASE Show details

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