Autonomous Task Assignment of Multiple Operators for Human Robot Interaction Conference Paper

abstract

• This paper reports some extensions to recent results in attention allocation and task assignment schemes in human robot interaction. The general scenario of task processing by multiple human operators is considered. Motivated by the single operator model, an optimization problem is posed to provide task processing and attention allocation solutions for multiple operators with appropriate performance measures. An alternative formulation is proposed to simplify the resulting optimization problem and reduce the dimensionality of the policy space. Numerical examples are shown to demonstrate the utility of the proposed formulation.

name of conference

• 2013 American Control Conference

authors

• Majji, Manoranjan

published proceedings

• 2013 AMERICAN CONTROL CONFERENCE (ACC)

author list (cited authors)

• Majji, M., & Rai, R.

citation count

• 5

complete list of authors

• Majji, Manoranjan||Rai, Rahul

publication date

• January 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... American Control Conference. American Control Conference  Journal

keywords

• Attention Allocation Solution
• Autonomous Task Assignment
• Decision Making
• Dimensionality Reduction
• Human Robot Interaction
• Human-robot Interaction
• Multiple Human Operators
• Optimisation
• Optimization
• Optimization Problem
• Performance Analysis
• Performance Measures
• Policy Space
• Resource Management
• Single Machine Scheduling
• Task Processing
• Time Factors

Digital Object Identifier (DOI)

• 10.1109/acc.2013.6580851

start page

• 6454

end page

• 6459

URL

• http://dx.doi.org/10.1109/acc.2013.6580851