8 citations · 10 across the 3 of their papers we have counts for
4 papers
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control
Adam S. R. Parker, Michael R. Dawson, Patrick M. Pilarski
Artificial limbs are sophisticated devices to assist people with tasks of daily living. Despite advanced robotic prostheses demonstrating similar motion capabilities to biological…
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses
Michael R. Dawson, Adam S. R. Parker, Heather E. Williams +4
Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb. However, the method for controlling multiple…
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures
Johannes Günther, Nadia M. Ady, Alex Kearney +2
Predictions and predictive knowledge have seen recent success in improving not only robot control but also other applications ranging from industrial process control to rehabilitat…
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb
Ann L. Edwards, Alexandra Kearney, Michael Rory Dawson +2
In this work we explore the use of reinforcement learning (RL) to help with human decision making, combining state-of-the-art RL algorithms with an application to prosthetics. Mana…