Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Artificial Intelligence and Robotics

Author : Durai jaganathan 1 Adithya C S 2 K Bhanu Kiran 3 Lohith Kumar C 4 Karthik P 5

Date of Publication :30th November 2017

Abstract: Artificial intelligence is a theory. The base object is the agent who is the "actor". It is realized in software. Robots are manufactured as hardware. The connection between those two is that the control of the robot is a software agent that reads data from the sensors decides what to do next and then directs the effectors to act in the physical world. The aim of this paper is to provide basic, information of global scope on two emerging technologies: artificial intelligence (AI) and robotics. According to the Department of Trade and Industry (DTI), it is important to consider these emerging technologies now because their emergence on the market is anticipated to ‘affect almost every aspect of our lives’ during the coming decades(DTI,2002).Thus, a first major feature of these two disciplines is product diversity. In addition, it is possible to characterize them as disruptive, enabling and interdisciplinary.

Reference :

    1. Tim Niemueller and Sumedha Widyadharma, July 8, 2003, “Artificial Intelligence – An Introduction to Robotics”.
    2. Daniel Wong, Ryan Zink and Sven Koenig, “Teaching Artificial Intelligence and Robotics via Games”, Los Angeles, CA 90089-0781
    3. Eliezer Yudkowsky, August 31, 2006, “Artificial Intelligence as a Positive and Negative Factor in Global Risk”, Singularity Institute for Artificial Intelligence Palo Alto, CA.
    4. Alexander Huw Arnall, July 2003, Nanotechnology, Artificia Intelligence and Robotics; A technical, political and institutional map of emerging technologies”, Greenpeace Environmental Trust Canonbury Villas, London N1 2PN, ISBN 1-903907-05-5.
    5. F. Dellaert, D. Fox, W. Burgard, and S. Thrun, May 1999, “Monte carlo localization for mobile robots”, IEEE International Conference on Robotics and Automation (ICRA9).

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