13. A system for determining a motor control signal for a robotic apparatus based on an analysis of an external input, the system comprising: a sensor configured to receive the external input; a non-transitory computer-readable memory configured to store a plurality of computer instructions; and at least one processing component configured to cause the plurality of computer instructions to, when executed: analyze the external input via a first transformation process applied based on a presence of a first set of features from the input signal with a first characteristic; analyze the external input via a second transformation process applied based on a presence of a second set of features from the external input with a second characteristic; determine a plurality of features based on the analysis of the external input via the first transformation process over a first period of time and the analysis of the external input via the second transformation process over a second period of time; normalize each of the plurality of features using a statistical parameter determined from the plurality of features; provide a plurality of normalized features to a classification process configured to detect one or more relevant features among the plurality of normalized features, the one or more relevant features comprising a relevance value that exceeds a threshold; and select from a plurality of control signals a motor control signal associated with the one or more relevant features with the relevance value that exceeds the threshold; wherein the selection of the motor control signal is based on a previous concurrent occurrence of the motor control signal and the one or more relevant features; and wherein the robotic apparatus is configured to execute a task based on the selection of the motor control signal.
13. A system for determining a motor control signal for a robotic apparatus based on an analysis of an external input, the system comprising: a sensor configured to receive the external input; a non-transitory computer-readable memory configured to store a plurality of computer instructions; and at least one processing component configured to cause the plurality of computer instructions to, when executed: analyze the external input via a first transformation process applied based on a presence of a first set of features from the input signal with a first characteristic; analyze the external input via a second transformation process applied based on a presence of a second set of features from the external input with a second characteristic; determine a plurality of features based on the analysis of the external input via the first transformation process over a first period of time and the analysis of the external input via the second transformation process over a second period of time; normalize each of the plurality of features using a statistical parameter determined from the plurality of features; provide a plurality of normalized features to a classification process configured to detect one or more relevant features among the plurality of normalized features, the one or more relevant features comprising a relevance value that exceeds a threshold; and select from a plurality of control signals a motor control signal associated with the one or more relevant features with the relevance value that exceeds the threshold; wherein the selection of the motor control signal is based on a previous concurrent occurrence of the motor control signal and the one or more relevant features; and wherein the robotic apparatus is configured to execute a task based on the selection of the motor control signal. 16. The system of claim 13 , wherein a relevance of the one or more relevant features comprises a parameter generated from one or more of: a correlation, a probability, and a distance measure between the concurrent occurrence of the motor control signal and the one or more relevant features.