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A Brief Overview of Human and Robot Motor Learning

Ruta Desai
Tech. Report, CMU-RI-TR-15-24, Robotics Institute, Carnegie Mellon University, October, 2015

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Motor learning involves complex interplay of memory, plasticity, perception and muscle control. The focus of current review is on algorithms that could be used to model learning of control in motor tasks especially in locomotion domain. It spans research done in computational Neuroscience as well as Robotics communities.

This review is aimed at researchers who are interested in exploring models that explain characteristics of human motor skill learning and acquisition. It also hopes to provide insights to researchers interested in enabling learning in robots.

author = {Ruta Desai},
title = {A Brief Overview of Human and Robot Motor Learning},
year = {2015},
month = {October},
institution = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-15-24},
} 2017-09-13T10:38:33-04:00