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- W2895313864 abstract "The development of new collaborative robotic platforms opens the new possibility of human-robot collaborative scenarios provided that they are controlled by excellent control programs. Interactive collaborative robots need to be autonomous and possess social cognitive skills such as multimodal communication capability, recognise models of the environment and other agents, and aware of human attention and intention. On top of that, interactive collaborative robots must also able to interact fluently, learn from the interaction, and react appropriately to unprecedented situations. It is evident that the capabilities which are expected from interactive collaborative robots are too complicated to be achieved by static control programs. To successfully perform human-robot collaboration, we argue that interactive collaborative robots must be controlled by a cognitive architecture that integrates multiple cognitive software modules. Inspired by the concept of Humanistic Intelligence, we also believe that the cognitive robot architecture must exploit the feedback from the human whom it is interacting with because humans possess superior cognitive capabilities that can be utilised by the cognitive robot architecture to enhance its cognitive skills." @default.
- W2895313864 created "2018-10-12" @default.
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- W2895313864 date "2018-07-25" @default.
- W2895313864 modified "2023-09-24" @default.
- W2895313864 title "Towards a cognitive architecture incorporating human feedback for interactive collaborative robots" @default.
- W2895313864 hasPublicationYear "2018" @default.
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