Using various embodiments, an autonomous robot using data captured from a living subject are disclosed. In one embodiment, an autonomous robot can be trained using previously captured sensor data by receiving the sensor data, processing the sensor data and transmitting control signals to cause a movement in at least one portion of the autonomous robot. The movement can be related to an interaction of the autonomous robot with its surroundings, wherein the movement generates movement data. Thereafter, a predictive analysis can be performed on the movement data to learn a capability of generating actions that are spontaneous and adaptive to an immediate environment of the autonomous robot.
TRAINING AN AUTONOMOUS ROBOT USING PREVIOUSLY CAPTURED DATA
28.03.2019
Patent
Elektronische Ressource
Englisch
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