Paper Info
Title
An Objective Function For Performance Measurement Of Human-Robot Target Recognition Systems In Unstructured Environments
Abstract
Robotic systems for unstructured environments need to cope with rapid changes in time and space, inherent uncertainty, and generate unpredictable and dynamic situations, resulting in lack of information, due to inadequate sensor accuracy and computational limitations. Introduction of a HumanOperator (HO) into the system can help simplify the robotic system and ensure improved performance. In the current study we developed an objective function for different levels of HO-robot collaboration in a target recognition task. The objective function considers several HO and robot parameters, which contribute to the overall performance in each level of collaboration. Results indicate that HO-robot collaboration improves system performance in many conditions. The optimal collaboration level depends on image complexity and on robot and HO characteristics. Some of the latter have to be assessed through behavioral research on HOs.
Year
DOI
Venue
2004
10.1109/ICSMC.2004.1398284
2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7
Keywords
Field
DocType
target recognition, human-robot interaction, objective function, levels of automation, unstructured nvironments
User assistance,Mathematical optimization,Human operator,Computer science,Collaborative software,Performance measurement,Artificial intelligence,Robot,Robotics,Machine learning,Human–robot interaction,Cognitive neuroscience of visual object recognition
Conference
ISSN
Citations 
PageRank 
1062-922X
2
0.38
References 
Authors
4
3
Name
Order
Citations
PageRank
Avital Bechar1334.82
Yael Edan251453.29
Joachim Meyer337641.28