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The power of prediction : robots that read intentions
Bicho, E.; Erlhagen, Wolfram; Sousa, Emanuel; Louro, Luís; Meulenbroek, Ruud; Bekkering, Harold; Hipólito, Nzoji; Silva, Eliana Costa eHumans are experts in cooperating in a smooth and proactive manner. Action and intention understanding are critical components of efficient joint action. In the context of the EU Integrated Project JAST [16] we have developed an anthropomorphic robot endowed with these cognitive capacities. This project and respective robot (ARoS) is the focus of the video. More specifically, the results illustrate crucial cogn...
A dynamic field approach to goal inference, error detection and anticipatory ac...
Bicho, E.; Erlhagen, Wolfram; Louro, Luís; Silva, Eliana Costa e; Silva, Rui Manuel Gomes; Hipólito, NzojiIn this chapter we present results of our ongoing research on efficient and fluent human-robot collaboration that is heavily inspired by recent experimental findings about the neurocognitive mechanisms supporting joint action in humans. The robot control architecture implements the joint coordination of actions and goals as a dynamic process that integrates contextual cues, shared task knowledge and the predict...
A dynamic field approach to goal inference and error monitoring for human-robot...
Bicho, E.; Louro, Luís; Hipólito, Nzoji; Erlhagen, WolframIn this paper we present results of our ongoing research on non-verbal human-robot interaction that is heavily inspired by recent experimental findings about the neuro-cognitive mechanisms supporting joint action in humans. The robot control architecture implements the joint coordination of actions and goals as a dynamic process that integrates contextual cues, shared task knowledge and the predicted outcome of...
Combining goal inference and natural-language dialogue for human-robot joint ac...
Foster, Mary Ellen; Giuliani, Manuel; Müller, Thomas; Knoll, Alois; Erlhagen, Wolfram; Bicho, E.; Hipólito, Nzoji; Louro, LuísWe demonstrate how combining the reasoning components from two existing systems designed for human-robot joint action produces an integrated system with greater capabilities than either of the individual systems. One of the systems supports primarily non-verbal interaction and uses dynamic neural fields to infer the user’s goals and to suggest appropriate system responses; the other emphasises natural-language ...
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