Now showing items 1-6 of 6
An Integrated Approach for Achieving Multi-Robot Task Formations
(Georgia Institute of Technology, 2009-04)
In this paper, a problem, called the initial formation problem, within the multirobot task allocation domain is addressed. This problem consists in deciding which robot should go to each of the positions of the formation ...
A Systematic Approach to Predict Performance of Human-Automation Systems
(Georgia Institute of Technology, 2007-07)
This paper discusses an approach for predicting system performance resulting from humans and robots performing repetitive tasks in a collaborative manner. The methodology uses a systematic approach that incorporates the ...
A Methodology to Assess Performance of Human-Robotic Systems in Achievement of Collective Tasks
(Georgia Institute of Technology, 2005-08)
In this paper, we present a methodology to assess system performance of human-robotic systems in achievement of collective tasks such as habitat construction, geological sampling, and space exploration. The methodology ...
Multi-Robot Task Allocation in Lunar Mission Construction Scenarios
(Georgia Institute of Technology, 2005-10)
In this paper, we propose a method for multirobot task allocation based on the concept of task decomposition for a lunar mission scenario. This methodology focuses on segmenting a task scenario into a sequence of operations ...
Role Allocation in Human-Robot Interaction Schemes for Mission Scenario Execution,
(Georgia Institute of Technology, 2006-05)
In this paper, we focus on the problem of maximizing system performance for future space exploration missions involving both human and robot agents. One of the main challenges in human-robot interaction scenarios is ...
Probabilistic Analysis of Market-Based Algorithms for Initial Robotic Formations
(Georgia Institute of Technology, 2009-06)
In this paper, we present a probabilistic analysis approach for analyzing market-based algorithms applied to the initial formation problem. These algorithms determine an assignment scheme for associating individual robots ...