Abstract: Systems, apparatus, articles of manufacture, and methods for eye gaze correction in camera image streams are disclosed. An example apparatus disclosed herein includes timing circuitry to calculate a duration of time for which an eye gaze of a first user of a video conference is directed toward a second user of the video conference, the second user presented as an image via a video conference interface, the video conference interface presented by a display of an electronic device, and social feedback control circuitry to select an eye gaze time threshold based on content associated with the video conference interface, and in response to the duration satisfying the eye gaze time threshold, cause an alert to be presented on the display with the video conference interface.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to synchronized threads. Example apparatus disclosed herein identify a first trigger frequency associated with a first application thread, the first trigger frequency corresponding to first times of first requests associated with the first application thread. Disclosed example apparatus also identify a second trigger frequency associated with a second application thread, the second trigger frequency corresponding to second times of second requests associated with the second application thread, the second trigger frequency different from the first trigger frequency. Disclosed example apparatus further determine a third trigger frequency based on the first and second trigger frequencies, and adjust at least one of the first requests or the second requests to the third trigger frequency.

Abstract: A robot including a resource sharing circuit, configured to operate according to a resource utilization limit, and comprising a processor, configured to receive resource data representing a resource utilization of the robot; if the resource utilization of the robot is within a predetermined range, operate according to a first operational mode, wherein an upper limit of the predetermined range is defined by a tolerance relative to the resource utilization limit; if the resource utilization of the robot is outside of the predetermined range, operate according to a second operational mode; wherein the first operational mode includes controlling a communication circuit to send a first wireless signal representing an availability to accept a task; and wherein the second operational mode includes controlling the communication circuit to send a second wireless signal representing an availability to allocate a task to an external device for remote processing.

Abstract: Disclosed herein are systems, devices, and methods of a robot safety system for improving the safety of human-robot collaborations. The robot safety system may include a processor that receives a collaboration policy for task collaboration between a robot and a collaborator. The task collaboration may include a movement plan of the robot to move a manipulator to a collaboration position. The robot safety system may also determine a new collaboration position based on the collaboration policy. The robot safety system may also update the collaboration position of the movement plan to the new collaboration position.

Abstract: Described herein is a technique that provides a first robot associated with a first trust domain to identify and authenticate a second robot associated with a second trust domain. The identification and authentication technique described herein is based on a robot processing a variety of input signals obtained via sensors, in order to generate robot identification information that can be compared with known or trusted information. Advantageously, the identification technique occurs locally, for example, at the robot and at the location of the robot-to-robot interaction, eliminating any requirement for communicating with an authoritative remote or cloud-based service, at the time and place of the robot-to-robot interaction.

Abstract: Systems, apparatuses and methods may provide for technology that groups sensor data into a plurality of clusters based on feature similarity, conducts an artificial intelligence (AI) analysis of the plurality of clusters, and detects a data defect based on the AI analysis.

Abstract: A robot may include a processor, configured to operate according to a first operational mode or a second operational mode, wherein the first operational mode comprises performing an environmental perception operation using first sensor data, wherein the first sensor data comprise no camera data, and wherein the second operational mode comprises performing the environmental perception operation using second sensor data, wherein the second sensor data comprise camera data; while operating according to the first operational mode, determine a confidence factor representing a confidence of the environmental perception operation; determine whether or not the confidence factor is outside of a range; and if the confidence factor is outside of the range, operate according the second operational mode.

Abstract: Disclosed herein are embodiments of systems and methods for diversified imitation learning for automated machines. In an embodiment, a process-profiling system obtains sensor data captured by a plurality of sensors that are arranged to observe one or more human subjects performing one or more processes to accomplish one or more tasks. The process-profiling system clusters the sensor data based on a set of one or more process-performance criteria. The process-profiling system also performs, based on the clustered sensor data, one or both of generating and updating one or more process profiles in a plurality of process profiles. The process-profiling system selects, for one or more corresponding automated machines, one or more process profiles from among the plurality of process profiles, and the process-profiling system configures the one or more corresponding automated machines to operate according to the selected one or more process profiles.

Abstract: Disclosed herein are systems and methods for controlling a telepresence robot, sometimes referred to as a receiver. The systems and methods may include obtaining environmental data associated with the receiver and/or an operator of the telepresence robot, sometimes referred to as a sender. A model defining a human intent may be received and an intent of a human proximate the receiver and or the sender may be determined using the model. A first signal may be transmitted to the receiver. The first signal may be operative to cause the receiver to alter a first behavior based on the intent of the human and/or the sender.