Abstract: A teleoperation system, including a robotic controller configured to translate a plurality of user inputs to a plurality of robotic control signals. A robotic manipulator, configured to operate separately from the robotic controller and to receive robotic control signals from the robotic controller, the robotic manipulator comprising a plurality of first joints and an end effector, wherein the robotic manipulator is configured to assume a plurality of poses, and wherein each respective pose of the plurality of poses corresponds to a respective configuration of the plurality of first joints.

Abstract: A computerized method for detection of format drift and format anomalies is described. A format representation for each data point of a first data sample is extracted. Transformations of each format representation is conducted, resulting in a first plurality of count values (reference) and a second plurality of count values. Each count value identifies a number of occurrences of a transformed format representation within that data sample. Thereafter, a first probability distribution for the first plurality of count values and a second probability distribution for the second plurality of count values are computed. Analytics using the first and probability distributions are conducted to produce a first metric. A format drift is determined based on an evaluation of the first metric to a second metric operating as a threshold metric. Format anomalies are detected based on analytics of hashed format representation and determination of infrequent usage of a particular format representation.

Abstract: A teleoperation system, including a robotic controller configured to translate a plurality of user inputs to a plurality of robotic control signals. A robotic manipulator, configured to operate separately from the robotic controller and to receive robotic control signals from the robotic controller, the robotic manipulator comprising a plurality of first joints and an end effector, wherein the robotic manipulator is configured to assume a plurality of poses, and wherein each respective pose of the plurality of poses corresponds to a respective configuration of the plurality of first joints.

Abstract: A computerized method for detection of format drift and format anomalies is described. A format representation for each data point of a first data sample is extracted. Transformations of each format representation is conducted, resulting in a first plurality of count values (reference) and a second plurality of count values. Each count value identifies a number of occurrences of a transformed format representation within that data sample. Thereafter, a first probability distribution for the first plurality of count values and a second probability distribution for the second plurality of count values are computed. Analytics using the first and probability distributions are conducted to produce a first metric. A format drift is determined based on an evaluation of the first metric to a second metric operating as a threshold metric. Format anomalies are detected based on analytics of hashed format representation and determination of infrequent usage of a particular format representation.

Abstract: A computerized method for detection of categorical drift within an incoming data stream. Herein, an error threshold is computed based on a first set of training data samples selected to detect categorical drift occurring for a data stream. Thereafter, probability distributions associated with content of a first and second data samples of the data stream are computed. Analytics are conducted to compute a difference between content of the first probability distribution that is based on a first data point of the first data sample and content of the second probability distribution that is based on a first data point of the second data sample. After computing the difference, that categorical drift is determined whether categorical drift detection has been conducted.

Abstract: A computerized method is disclosed including operations of receiving a data stream, performing a changepoint detection resulting in a detection of changepoints in the data stream including: maintaining a listing of starting indices for each run within the data stream in a buffer of size L wherein each index of the listing has a run length probability representing a likelihood of being a changepoint, receiving a new data point within the data stream and adding a new index to the buffer resulting in the buffer having size L+1, calculating a posterior run length probability that the new data point is a changepoint, and removing an index from the listing that has a lowest run length probability thereby returning the buffer to size L, and responsive to determining the index removed from the listing does not correspond to the new data point, identifying a changepoint associated with the new data point.