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Humanoid Robots That Behave, Speak, and Think Like Humans:A Reduction to Practice RRC-Humanoid Robot

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53289#.VLx7ZsnQrzE

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ABSTRACT
A radical new approach is presented to programming human-like levels of Artificial Intelligence (AI) into a humanoid robot equipped with a verbal-phoneme sound generator. The system shares 3 important characteristics with human-like input data and processing: 1) The raw data and preliminary processing of the raw data are human-like. 2) All the data are subjective, that is related and correlated with a robotic self-identity coordinate frame. 3) All the data are programmed behaviorally into the system. A multi-tasking Relational Robotic Controller (RRC)-Humanoid Robot, described and published in the peer-reviewed literature, has been specifically designed to fulfill those 3 characteristics. A RRC-controlled system may be behaviorally programmed to achieve human-like high I.Q. levels of subjective AI for the visual signals and the declarative-verbal words and sentences heard by the robot. A proof of concept RRC-Humanoid Robot is under development and present status is presented at the end of the paper.
 
Cite this paper
Rosen, A. and Rosen, D. (2015) Humanoid Robots That Behave, Speak, and Think Like Humans:A Reduction to Practice RRC-Humanoid Robot. Engineering, 7, 1-15. doi: 10.4236/eng.2015.71001.
 
References
[1]Turing, A.M. (1950) Computing Machinery and Intelligence. Mind, 59, 433-460.
http://dx.doi.org/10.1093/mind/LIX.236.433
 
[2]Turing, A.M. (1953) Solvable and Unsolvable Problems. Science News, 31, 7-23.
 
[3]Rosen, A. and Rosen, D.B. (2007) The Turing Machine Revisited: ASSC-e Archive.
www.mcon.org
 
[4]Rosen, A. and Rosen, D.B. (2013) A Behavioral Programming Approach to the Design-Development of Humanoid Robots. Proceedings of the 2013 International Conference on AI, World Comp’13, Las Vegas, 22-25 July 2013.
 
[5]Rosen, A. and Rosen, D.B. (2006) An Electromechanical Neural Network Robotic Model of the Human Body and Brain. Lecture Notes in Computer Science, 4232, 105-116.
 
[6]Rosen, A. and Rosen, D.B. (2006) A Neural Network Model of the Connectivity of the Biological Somatic Sensors. International Joint Conference on Neural Networks, Vancouver, 299-306.
 
[7]Rosen, D.B. and Rosen, A. (2007) A Robotic Neural Net Based Visual-sensory Motor Control System That Reverse Engineers the Motor Control Functions of the Human Brain. International Joint Conference on Neural Networks, Orlando, 12-17 August 2007, 2629-2634; Journal of Financial Economics, 7, 197-226.
 
[8]Rosen, A. (2005) The Design of the NCC-Circuit for Audition and Sound Generation. An Internal MCON Inc.
www.mcon.org
 
[9]Marr, D. (1962) Vision. Freeman Press.                                                                                   eww150119lx
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