Abstract: Methods, apparatus, systems, and articles of manufacture to facilitate collaborative learning in a multi-sensor environment are disclosed. An example computer readable medium comprises instructions at least one programmable circuit to after determining that first data from a first device conflicts with second data from a second device: validate the first device based on third data from a validated device; and mitigate the second device based on the third data.

Abstract: A system, including: a communication interface operable to receive sensor data related to a state of an object; object state estimation processor circuitry operable to estimate, based on the sensor data, a prospective probability of a degradation of the state of the object; and cobot fleet control processor circuitry operable to generate a command for either a transport cobot operable to transport the object, or another actor, to take proactive action to mitigate the prospective probability of the degradation of the state of the object.

Abstract: A first computing system includes a data store with a sensitive dataset. The first computing system uses a feature extraction tool to perform a statistical analysis of the dataset to generate feature description data to describe a set of features within the dataset. A second computing system is coupled to the first computing system and does not have access to the dataset. The second computing system uses a data synthesizer to receive the feature description data and generate a synthetic dataset that models the dataset and includes the set of features. The second computing system trains a machine learning model with the synthetic data set and provides the trained machine learning model to the first computing system for use with data from the data store as an input.

Abstract: An apparatus including a memory and a processor configured to: identify an item located within the environment based on sensor data, wherein the sensor data represents one or more sensor detections of the environment; determine a metric representative of a likelihood of the item becoming lost the within the environment based on information about the item; and select, based on the metric, at least one monitoring method to monitor the item within the environment from a plurality of monitoring methods.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to identify causes of defects in industrial environments. An example apparatus includes interface circuitry to access data associated with an object in an environment and programmable circuitry to utilize machine-readable instructions. For example, the programmable circuitry is to identify a cause of a defect of the object based on a timeline of the object in the environment, the timeline based on the data.