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Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
One challenge identified in these learning methods is that they can forget previously learned predictions when a user begins to successfully act upon delivered feedback.
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses
Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb.
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
Predictions and predictive knowledge have seen recent success in improving not only robot control but also other applications ranging from industrial process control to rehabilitation.
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