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.
Highlights
The design of “thinking computers” has been a goal of the discipline of Artificial Intelligence (AI) since the advent of digital computers
The programming/training of the auditory Relational Robotic Controller (RRC)-robot is a process of training the pattern recognition circuits of each Task Selector Module (TSM) associated with each task, to recognize, identify and prioritize inputsignal Task Initiating Triggers (TIT) patterns that initiate the lower level tasks shown in the figure
Note that the programmed/trained TSMs associated with the tasks in Figure 3, form a declarative memory system within the controller that remembers the procedure for performing the various subtasks listed in the Hierarchical Task Diagram (HTD)
Summary
The design of “thinking computers” has been a goal of the discipline of Artificial Intelligence (AI) since the advent of digital computers. We have thereby designed a system, called a Relational Robotic Controller (RRC)-system that has a subjective identity and AI-knowledge associated with that identity It is the “robotic self”, programmed into the computer that “thinks”, not the objective-mechanical digital computer. The fundamental design characteristic of the RRC-Humanoid Robot is a centralized hub of intelligence, a proprietary module that is the centralized “self location and identification” coordinate frame of the system This module gives the RRCHumanoid Robot a robotic form of proprioceptive knowledge, similar to human proprioceptive intelligence. 4) In order to achieve contextual, or “self-knowledge” of visual data, auditory data, olfactory data, gustatory data, and vestibular data, all the data obtained from those human-like sensors must be related and correlated with the self-knowledge, self location and identification coordinate frame. The 6 robotic sensors should be human-like sensors designed to gain the same information as is gained by the human sensors
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