Back
 ENG  Vol.7 No.1 , January 2015
Humanoid Robots That Behave, Speak, and Think Like Humans:A Reduction to Practice RRC-Humanoid Robot
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.

 
 
Top