Title :
A robot simulator classification system for HRI
Author :
Craighead, Jeff ; Murphy, Robin ; Burke, Jenny ; Goldiez, Brian
Author_Institution :
Dept. of Comput. Sci., Univ. of South Florida, Tampa, FL
Abstract :
This paper presents a classification system for computer-based robot simulators that is based on the FAA guidelines for aircraft simulators. Low fidelity computer simulation has been used extensively for testing artificial intelligence and control algorithms for robotic systems. Until recently operator training using simulators has been impractical due to the cost of the computer systems necessary to simulate robot operation with high fidelity. The rapid increase in the power of desktop computers over the last decade has led to cheap, high fidelity vehicle simulation. A review of the literature shows that there are many robot simulators in use with a variety of features and fidelity levels. There has been no prior work attempting to classify the functionality of these robot simulators.
Keywords :
learning (artificial intelligence); mobile robots; FAA guidelines; aircraft simulators; artificial intelligence; computer simulation; computer-based robot simulators; desktop computers; robot simulator classification system; Aircraft; Artificial intelligence; Computational modeling; Computer simulation; Costs; FAA; Guidelines; Intelligent robots; Robot control; System testing; Serious Games; Simulation; Simulator Rating; Training;
Conference_Titel :
Collaborative Technologies and Systems, 2007. CTS 2007. International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
978-0-9785699-1-4
Electronic_ISBN :
978-0-9785699-1-4
DOI :
10.1109/CTS.2007.4621743