Intelligent visual humanoid robot and computer vision system programmed to perform visual artificial intelligence processes

摘要

The disclosed visual RRC-humanoid robot is a computer-based system that has been programmed to reach human-like levels of visualization Artificial Intelligence (AI). Behavioral-programming techniques are used to reach human-like levels of identification AI, recognition AI, visualization AI, and comprehension AI. The system is programmed to identify, recognize, visualize and comprehend the full array of sizes, distances, shapes, and colors of objects recorded in the FOV of the system. The following innovative features have been incorporated into the system: (i) incorporation of the RRC, (ii) incorporation of the Relational Correlation Sequencer (RCS): A proprietary RRC-module, (iii) a paradigm shift in the analytical-programming methodology employed in computer vision systems, (iv) incorporation of a central hub of intelligence, (v) design of a “self knowledge” capability and Internalization of all data, and (vi) design of an interface circuit compatible with human-like levels of visualization-AI.

主权项

1. A visual relational robotic controller-humanoid robot (RRC-humanoid robot) comprising:
a human-like mechanical robotic system comprising a human-like tactile recording monitor and a human-like robotic body comprising a set of bipedal limbs, a set of arms, a set of hands, a set of fingers, an energy power source, and sets of motors and gears used to move the body, limbs, arms, hands, and fingers; a video visual recording monitor that is input to a humanoid RRC-controlled robot comprising an optical apparatus that faces an external environment and generates a real time 3D-photometric image that is a high fidelity light representation of measured photometric data of objects in a field of view (FOV) region of the optical apparatus, said video visual recording monitor comprising a plurality of video cameras that each has a camera lens of identical focal length, a plurality of color-detecting charge coupled device arrays (CCD-arrays) in which each CCD-array is located proximate to one of the video cameras, a convergent motor worms gear used to point the video cameras at a convergence point located on a midline line of sight (LOS), and a convergence angle sensor used to measure a depth of the convergence point; a relational robotic controller (RRC) that satisfies a set of specification requirements for relational robotic controllers; an interface circuit positioned between an auditory recording monitor and the RRC, said interface circuit configured to decompose a data stream of the visual image into collective modalities that yield a sharper, more highly resolved visual image, reconstruct the images of the collective modalities into a single Cyclopean eye, generate visual cues to convert two 2-dimensional images into a single 3-dimensional photometric image, generate a high fidelity 3-dimensional image of objects in the environment, integrate and internalize the 3-dimensional photometric image into a 3-dimensional self-knowledge Nodal Map Module (NMM); and a programming methodology defined by a Procedural Hierarchical Task Diagram (PHTD) specification that provides the robot a human-like form of visualization artificial intelligence (AI).