Title
Switching Between Collaboration Levels in a Human–Robot Target Recognition System
Abstract
This paper presents a set of algorithms that are developed for real-time dynamic switching between collaboration levels in a human–robot target recognition system. The algorithms were developed for a closed-loop controller to maximize system performance, despite deviations in the parameter values. These developments enable smooth real-time adaptation of the combined human–robot system to many possible changes of the environment, human operator, and robot performance. System performance was analyzed in simulations for a variety of target probability distributions. Two hundred independent simulations for each target probability distribution were conducted to calculate algorithm performance for a variety of conditions. Values for human operations were taken from a target recognition experiment dealing with detecting melons for a robotic melon harvester. The numerical analysis results indicated that the developed dynamic switching algorithms resulted in improved system performance that, in some cases, was increased by more than 90%.
Year
DOI
Venue
2011
10.1109/TSMCC.2011.2119480
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions
Keywords
Field
DocType
closed loop systems,human-robot interaction,image recognition,numerical analysis,probability,real-time systems,robot vision,target tracking,closed-loop controller,collaboration levels,human operator,human robot target recognition system,numerical analysis,probability distributions,real-time dynamic switching,robot performance,Collaboration levels,dynamic switching,human–robot interaction,target recognition
Control theory,Human operator,Recognition system,Computer science,Control theory,Dynamic switching,Probability distribution,Numerical analysis,Robot,Human–robot interaction
Journal
Volume
Issue
ISSN
41
6
1094-6977
Citations 
PageRank 
References 
2
0.39
16
Authors
3
Name
Order
Citations
PageRank
Itshak Tkach161.78
Avital Bechar2334.82
Yael Edan351453.29