Paper
19 January 2009 Architectures for intelligent robots in the age of exploitation
Author Affiliations +
Proceedings Volume 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques; 725203 (2009) https://doi.org/10.1117/12.806232
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
History shows that problems that cause human confusion often lead to inventions to solve the problems, which then leads to exploitation of the invention, creating a confusion-invention-exploitation cycle. Robotics, which started as a new type of universal machine implemented with a computer controlled mechanism in the 1960's, has progressed from an Age of Over-expectation, a Time of Nightmare, an Age of Realism, and is now entering the Age of Exploitation. The purpose of this paper is to propose architecture for the modern intelligent robot in which sensors permit adaptation to changes in the environment are combined with a "creative controller" that permits adaptive critic, neural network learning, and a dynamic database that permits task selection and criteria adjustment. This ideal model may be compared to various controllers that have been implemented using Ethernet, CAN Bus and JAUS architectures and to modern, embedded, mobile computing architectures. Several prototypes and simulations are considered in view of peta-computing. The significance of this comparison is that it provides some insights that may be useful in designing future robots for various manufacturing, medical, and defense applications.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. L. Hall, S. M. Alhaj Ali, M. Ghaffari, X. Liao, Saurabh Sarkar, Kovid Mathur, and Srinivas Tennety "Architectures for intelligent robots in the age of exploitation", Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 725203 (19 January 2009); https://doi.org/10.1117/12.806232
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KEYWORDS
Databases

Robots

Control systems

Data modeling

Computer programming

Mobile robots

Neural networks

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