A State Space Model for Sensorimotor Control and Learning,

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Abstract:

The report is the first of a two-part presentation which deals with certain computer controlled manipulator problems. This first part discusses a model which is designed to address problems of motor control, motor learning, adaptation, and sensorimotor integration. The problems are outlined and a solution is given which makes use of a state space memory and a piece-wise linearization of the equations of motion. A forthcoming companion article will present the results of tests performed on an implementation of the model.

Author(s):
Raibert, Marc
Author Organization(s):
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Pagination:
0037

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
AI-M-351
Contract/Grant Number(s):
N00014-75-C-0643
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
*ANATOMY, *SENSES(PHYSIOLOGY), *MOTOR REACTIONS, EQUATIONS OF MOTION, MODELS, HUMANS, COMPUTERS, LEARNING, MANIPULATORS, PSYCHOPHYSIOLOGY
Field(s)/Group(s):
Psychology, Anatomy and Physiology
Keyword(s):
Computer aided control systems
Report Date:
1976 Jan 01