• Sorted by Date • Classified by Publication Type • Classified by Topic • Grouped by Student (current) • Grouped by Former Students •
Yehuda Elmaliach. Single Operator Control of Coordinated Robot Teams.
Master's Thesis, Bar Ilan University,2004.
There is growing recognition that many applications of robots will require a human operator to supervise and control multiple robots that collaborate to achieve the operator's goals. However, the bulk of existing work in this area assumes that robots are independent of each other, and thus ignores key challenges and opportunities in monitoring and operating tightly-coordinating teams. This thesis takes steps to address these open issues. First, we address the challenge of effectively monitoring multiple coordinating robots. We introduce a graphical socially-attentive display that explicitly shows the state of coordination in the team, in terms of the robots' state with respect to each other. As a result, the operator can easily detect coordination failures, even before these cause overall failure in the task. Second, we show that in resolving contingencies (call-requests), an opportunity exists for taking advantage of the robots' teamwork, to allow the robots to actively assist the operator. We propose a distributed approach to call-request resolution (including two variations), and an implementation method for behavior-based robots. This implementation method allows the operator to quickly switch control between robots, even while they are active. We evaluate all of these techniques in several multi-robot tasks, in experiments with up to 25 operators, each controlling multiple robots. The results show significant quantitative and qualitative improvements in task completion times, number of coordination failures, and performance consistency across operators.
@MastersThesis{yehuda-msc,
author = {Yehuda Elmaliach},
title = {Single Operator Control of Coordinated Robot Teams},
school = {{B}ar {I}lan {U}niversity},
year = {2004},
OPTkey = {},
OPTtype = {},
OPTaddress = {},
OPTmonth = {},
OPTnote = {},
abstract = {
There is growing recognition that many applications of robots will
require a human operator to supervise and control multiple robots that
collaborate to achieve the operator's goals. However, the bulk of
existing work in this area assumes that robots are independent of each
other, and thus ignores key challenges and opportunities in monitoring
and operating tightly-coordinating teams. This thesis takes steps to
address these open issues. First, we address the challenge of
effectively monitoring multiple coordinating robots. We introduce a
graphical \emph{socially-attentive} display that explicitly shows the
state of coordination in the team, in terms of the robots' state with
respect to each other. As a result, the operator can easily detect
coordination failures, even before these cause overall failure in the
task. Second, we show that in resolving contingencies
(\emph{call-requests}), an opportunity exists for taking advantage of
the robots' teamwork, to allow the robots to actively assist the
operator. We propose a distributed approach to call-request resolution
(including two variations), and an implementation method for
behavior-based robots. This implementation method allows the operator
to quickly switch control between robots, even while they are active.
We evaluate all of these techniques in several multi-robot tasks, in
experiments with up to 25 operators, each controlling multiple
robots. The results show significant quantitative and qualitative
improvements in task completion times, number of coordination
failures, and performance consistency across operators.
},
wwwnote = {},
OPTannote = {}
}
Generated by bib2html.pl (written by Patrick Riley ) on Fri Aug 30, 2024 17:29:51