2010 3rd IEEE RAS &Amp; EMBS International Conference on Biomedical Robotics and Biomechatronics 2010
DOI: 10.1109/biorob.2010.5627812
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A dynamic neural field architecture for a pro-active assistant robot

Abstract: We present a control architecture for non-verbal HRI that allows an assistant robot to have a pro-active and anticipatory behavior. The architecture implements the coordination of actions and goals among the human, that needs help, and the robot as a dynamic process that integrates contextual cues, shared task knowledge and predicted outcome of the human motor behavior. The robot control architecture is formalized by a coupled system of dynamic neural fields representing a distributed network of local but conn… Show more

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Cited by 4 publications
(2 citation statements)
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“…hold out the object that the operator needs next has a major impact on user satisfaction [30,32,46]. A promising research line to overcome the lack of autonomy of today's industrial robots is to implement in their control architecture models of human cognition.…”
Section: Introductionmentioning
confidence: 99%
“…hold out the object that the operator needs next has a major impact on user satisfaction [30,32,46]. A promising research line to overcome the lack of autonomy of today's industrial robots is to implement in their control architecture models of human cognition.…”
Section: Introductionmentioning
confidence: 99%
“…In an interdisciplinary effort involving cognitive scientists and roboticists (EU Integrated Project JAST [16]) we have developed an autonomous anthropomorphic robot that integrates in its control architecture known neurocognitive mechanisms supporting cooperative task performance in humans [1,[17][18][19][20][21]. This endeavor was considered one of the "success stories" of the Scientific and Technological Research in Europe (e.g.…”
Section: Introductionmentioning
confidence: 99%