
Departmental Papers (ESE)
Abstract
A feedback control strategy for the command of robot motion includes some limited automatic planning capabilities. These may be seen as sequential solution algorithms implemented by the robot arm interpreted as a mechanical analog computer. This perspective lends additional insight into the manner in which such control techniques may fail, and motivates a fresh look at requisite sensory capabilities.
For more information: Kod*Lab
Document Type
Journal Article
Subject Area
GRASP, Kodlab
Date of this Version
1986
Publication Source
Adaptive and Learning Systems: Theory and Applications
Start Page
389
Last Page
402
Bib Tex
@article{koditschek_1985), author = {Daniel Koditschek}, title = {Automatic Planning and Control of Robot Natural Motion Via Feedback}, booktitle = {Adaptive and Learning Systems: Theory and Applications}, year = {1985}, month = {September}, }
Date Posted: 25 July 2014
This document has been peer reviewed.
Comments
Preprint version. Published in Adaptive and Learning Systems: Theory and Applications, 1986, pages 389-402. The original publication is available at http://link.springer.com/chapter/10.1007/978-1-4757-1895-9_28.
NOTE: At the time of publication, author Daniel Koditschek was affiliated with Yale University. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania