Autonomous robot using data captured from a living subject

A method to train an autonomous robot using data gathered from a living subject comprising:

• receiving sensor data, by a processing system coupled to the autonomous robot, the sensor data received from a sensor apparatus, wherein the sensor apparatus periodically gathers the sensor data from a living subject, the sensor apparatus including at least one sensor to capture the body and limb motions of the living subject, and at least another sensor to capture data related to the surroundings of the living subject, including stereoscopic video and stereophonic audio, and wherein the sensor data includes the data generated by the at least one sensor and the at least another sensor;
• processing the sensor data and transmitting control signals to effectors of the autonomous robot to simulate the actions performed by the living subject;
• and
• iteratively, performing a predictive analysis to learn the capability of generating actions that are spontaneous and adaptive to the immediate environment of the autonomous robot, as well as its ongoing interactions with living or inanimate elements that surround it, wherein the processing system further receives and processes sensor data resulting from the spontaneous and adaptive actions of the autonomous robot;
• wherein the autonomous robot includes a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects, wherein movements of the robotic skeleton are resultant to control signals received by the effectors of the autonomous robot, the effectors present near or on the robotic skeleton.

A non-transitory computer readable medium comprising instructions which when executed by a processing system coupled to an autonomous robot performs a method to train the autonomous robot using data gathered from a living subject, the method comprising:

• receiving sensor data, the sensor data received from a sensor apparatus, wherein the sensor apparatus periodically gathers the sensor data from a living subject, the sensor apparatus including at least one sensor to capture the body and limb motions of the living subject, and at least another sensor to capture data related to the surroundings of the living subject, including stereoscopic video and stereophonic audio, and wherein the sensor data includes the data generated by the at least one sensor and the at least another sensor;
• processing the sensor data and transmitting control signals to effectors of the autonomous robot to simulate the actions performed by the living subject;
• and
• iteratively, performing a predictive analysis to learn the capability of generating actions that are spontaneous and adaptive to the immediate environment of the autonomous robot, as well as its ongoing interactions with living or inanimate elements that surround it, wherein the processing system further receives and processes sensor data resulting from the spontaneous and adaptive actions of the autonomous robot;
• wherein the autonomous robot includes a robotic skeleton designed similar to that of a human skeleton to simulate similar movements as performed by living subjects, wherein movements of the robotic skeleton are resultant to control signals received by the effectors of the autonomous robot, the effectors present near or on the robotic skeleton.