Departmental Papers (ESE)
Abstract
A new class of control algorithms—the “mirror algorithms”— gives rise to experimentally observed juggling and catching behavior in a planar robotic mechanism. The simplest of these algorithms (on which all the others are founded) is provably correct with respect to a simplified model of the robot and its environment. This article briefly reviews the physical setup and underlying mathematical theory. It discusses two significant extensions of the fundamental algorithm to juggling two objects and catching. We provide data from successful empirical verifi cations of these control strategies and briefly speculate on the larger implications for the field of robotics.
For more information: Kod*Lab
Document Type
Journal Article
Subject Area
GRASP, Kodlab
Date of this Version
4-1994
Publication Source
International Journal of Robotics Research
Volume
13
Issue
12
Start Page
101
Last Page
118
DOI
10.1177/027836499401300201
Bib Tex
@article{buehler-ijrr-1994, author = {M. Buehler and D. E. Koditschek and P. J. Kindlmann}, title = {Planning and Control of Robotic Juggling and Catching Tasks}, journal = {International Journal of Robotics Research}, year = {1994}, month = {April}, volume = {13}, number = {12}, pages = {101-118}, doi = {10.1177/027836499401300201} }
Date Posted: 29 September 2014
This document has been peer reviewed.
Comments
“The final, definitive version of this article has been published in the Journal, International Journal of Robotics Research, 13/12, 1994, © SAGE Publications, Inc. or Society/Proprietor, 1994 by SAGE Publications, Inc. at the International Journal of Robotics Research page: http://ijr.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/
NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan, Ann Arbor. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania.