6. An apparatus configured to determine a motor control signal for a robot based on an analysis of an input signal, the apparatus comprising: a processor; and a non-transitory computer-readable medium configured to store at least one computer program thereon, the computer program comprising a plurality of instructions configured to, when executed by the processor, cause the apparatus to: analyze the input signal based on a first transformation process applied based on a presence of at least one first feature from the input signal with a first characteristic; analyze the input signal based on a second transformation process applied based on a presence of at least one second feature from the input signal with a second characteristic, the second characteristic being different from the first characteristic; determine a plurality of features based on the analysis of the input signal based on the first transformation process over a first time interval and the analysis of the input signal based on the second transformation process over a second time interval; normalize each of the plurality of features using a statistical parameter derived from the plurality of features; provide a plurality of normalized features to a classification process configured to detect at least one relevant feature among the plurality of normalized features, the at least one relevant feature comprising a relevance parameter that exceeds a predetermined threshold; select from a plurality of control signals a motor control signal associated with the at least one relevant feature with the relevance parameter that exceeds the predetermined threshold; and apply the selected motor control signal to the robot, thereby causing the robot to execute a target task; wherein the selection of the motor control signal is based on a prior simultaneous occurrence of the motor control signal and the at least one relevant feature.
6. An apparatus configured to determine a motor control signal for a robot based on an analysis of an input signal, the apparatus comprising: a processor; and a non-transitory computer-readable medium configured to store at least one computer program thereon, the computer program comprising a plurality of instructions configured to, when executed by the processor, cause the apparatus to: analyze the input signal based on a first transformation process applied based on a presence of at least one first feature from the input signal with a first characteristic; analyze the input signal based on a second transformation process applied based on a presence of at least one second feature from the input signal with a second characteristic, the second characteristic being different from the first characteristic; determine a plurality of features based on the analysis of the input signal based on the first transformation process over a first time interval and the analysis of the input signal based on the second transformation process over a second time interval; normalize each of the plurality of features using a statistical parameter derived from the plurality of features; provide a plurality of normalized features to a classification process configured to detect at least one relevant feature among the plurality of normalized features, the at least one relevant feature comprising a relevance parameter that exceeds a predetermined threshold; select from a plurality of control signals a motor control signal associated with the at least one relevant feature with the relevance parameter that exceeds the predetermined threshold; and apply the selected motor control signal to the robot, thereby causing the robot to execute a target task; wherein the selection of the motor control signal is based on a prior simultaneous occurrence of the motor control signal and the at least one relevant feature. 8. The apparatus of claim 6 , wherein the relevance parameter is generated by one or more of: a correlation, a probability, and a distance measure between an occurrence of the plurality of features and an occurrence of the motor control signal.