Beyond the individual: new insights on language, cognition and robots

Lopes, Luís Seabra; Belpaeme, Tony

doi:10.1080/09540090802518661

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…While those taking a distributed view have already begun to explore agent-based modeling (see, Belpaeme et al 2009;Lopes et al 2008), they may have focused too narrowly on the physical grounding of linguistic symbols. 13 Further, game theoretic explorations, as Ross acknowledges, typically cannot incorporate individual cognitive processes and strategies that are readily observable in individual behaviour.…”

Section: Where To From Here?mentioning

confidence: 99%

Integrating and extending the distributed approach in cognitive science

Dale

2012

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Section: Where To From Here?mentioning

confidence: 99%

Integrating and extending the distributed approach in cognitive science

Dale

2012

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“…While this kind of sharing of knowledge is an effective means of communication for robots, it is impossible to access a human's brain directly [13]. Therefore, an effective system requires interfaces which translate knowledge into communication channels which humans can access, thus enabling robots to map the information contained in human commands onto an appropriate representation.…”

Section: Related Workmentioning

confidence: 99%

Generating grammars for natural language understanding from knowledge about actions and objects

Perzylo

Griffiths

Lafrenz

et al. 2015

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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Abstract-Many applications in the fields of Service Robotics and Industrial Human-Robot Collaboration, require interaction with a human in a potentially unstructured environment. In many cases, a natural language interface can be helpful, but it requires powerful means of knowledge representation and processing, e.g., using ontologies and reasoning.In this paper we present a framework for the automatic generation of natural language grammars from ontological descriptions of robot tasks and interaction objects, and their use in a natural language interface. Robots can use it locally or even share this interface component through the RoboEarth framework in order to benefit from features such as referent grounding, ambiguity resolution, task identification, and task assignment.

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