Output details
15 - General Engineering
University of Sheffield
Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles
This successful early collaborative work between researchers at the University of Sheffield and the Bristol Robotics Laboratory had impact by stimulating wider collaboration and funding in new themes, especially in soft robotics (with Dr Jonathan Rossiter, Jonathan.Rossiter@bristol.ac.uk): the paper laid a milestone in being the first to apply the adaptive filter model of the cerebellum to soft, muscle-like, actuators and therefore became a key paper in a successful EPSRC grant application on soft robotics and artificial muscle control using bioinspired techniques (EP/I032533/1, value £1,081,051). One grant reviewer noted that “the research proposed is exciting and ambitious”.