This paper proposes using a fully patented, state-of-the-art technology to build intelligent, autonomous, fully humanoid entities. These Human-Like-Robotic-System (HLRS) entities, codenamed Armstrong, are trained in a simulation environment and re-produce the learned behaviors in the real-world robotic system. The simulation environment is specifically designed to train the HLRS to utilize basic motor skills, fine motor skills, finger/hand dexterity, and perception to identify and perform nearly limitless high-level complex tasks such as manufacturing assembly, conversation, healthcare, first aid, and much more. Furthermore, this learning can be accomplished in a simulation environment at a significantly faster speed than traditional real-world training platforms. It is the most advanced robotic training methodology that has ever been developed and will allow robots to become true complements to human beings.
