Franklin, DW and Burdet, E and Osu, R and So, U and Tee, KP and Milner, TE and Kawato, M (2006) Learning the dynamics of the external world: Brain inspired learning for robotic applications. In: UNSPECIFIED UNSPECIFIED, pp. 109-112.Full text not available from this repository.
Humans have exceptional abilities to learn new skills, manipulate tools and objects, and interact with our environment. In order to be successful at these tasks, our brain has become exceptionally well adapted to learning to deal not only with the complex dynamics of our own limbs but also with novel dynamics in the external world. While learning of these dynamics includes learning the complex time-varying forces at the end of limbs through the updating of internal models, it must also include learning the appropriate mechanical impedance in order to stabilize both the limb and any objects contacted in the environment. This article reviews the field of human learning by examining recent experimental evidence about adaptation to novel unstable dynamics and explores how this knowledge about the brain and neuro-muscular system can expand the learning capabilities of robotics and prosthetics. © 2006.
|Item Type:||Book Section|
|Uncontrolled Keywords:||Adaptation Force control Impedance control Internal model Metabolic cost|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||16 Jul 2015 14:01|
|Last Modified:||03 Sep 2015 06:07|