Feedback-Error-Learning Neural Network for Supervised Motor Learning

By Mitsuo Kawato. 1990

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Citations in the corpus

Reinforcement learning in robotics: A survey (2013, background): “, 1988) and is loosely related to feedback error learning (Kawato, 1990).”
Adapting human motion for the control of a humanoid robot (2002, methodology): “This approach to trajectory learning was originally proposed by Kawato et al. [10, 11 ].”
Model learning for robot control: a survey (2011, methodology): “One indirect modeling technique which can solve some of such ill-posed problems is known as feedback error model learning (Kawato 1990).”
A computational model of four regions of the cerebellum based on feedback-error learning (2004, background): “The mathematical foundations of feedback-error learning were recently investigated ( Kawato 1990b ).”
Goal Babbling Permits Direct Learning of Inverse Kinematics (2010, background): “In feedback-error learning [16], [17], it is simply assumed that a mechanism to compute that motor error is already available.”
A unifying computational framework for motor control and social interaction. (2003, methodology): “The two principal methods proposed in the motor control literature for solving this problem are ‘distal supervised learning ’ (Jordan & Rumelhart 1992) and ‘feedback error learning ’ ( Kawato 1990 ).”
Learning task constraints in operational space formulation (2017, background): “A potential solution is to take examples from human demonstrations and attempt to learn a control policy that somehow captures the behaviours [6], [7], [8].”