document: Searching a scalable approach to cerebellar based control Decades of research into the structure and function of the cerebellum have led to a clear understanding of many of its cells , as well as how learning might take place . Furthermore , there are many theories on what signals the cerebellum operates on , and how it works in concert with other parts of the nervous system . Nevertheless , the application of computational cerebellar models to the control of robot dynamics remains in its infant state . To date , few applications have been realized . The currently emerging family of light-weight robots poses a new challenge to robot control : due to their complex dynamics traditional methods , depending on a full analysis of the dynamics of the system , are no longer applicable since the joints influence each other dynamics during movement . Can artificial cerebellar models compete here ?
doc_bio_tags: O O B I O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: scalable approach cerebellar based control nervous system computational cerebellar models robot control
abstractive_keyphrases: light-weight robots