Abstract: A machine learning device is provided in a versatile controller capable of inferring command data to be issued to each axis of a robot. The device includes an axis angle conversion unit calculating, from the trajectory data, an amount of change of an axis angle of an axis of the robot, a state observation unit observing axis angle data relating to the amount of change of the axis angle of the axis of the robot as a state variable representing a current state of an environment, a label data acquisition unit acquiring axis angle command data relating to command data for the axis of the robot as label data, and a learning unit learning the amount of change of the axis angle of the axis of the robot and the command data for the axis in association with each other by using the state variable and the label data.

Abstract: Methods, systems, and platforms for automatic setup planning for a robot. The method includes sampling multiple poses in multiple dimensions within a robotic workspace. The method includes generating one or more candidate configurations based on the multiple poses. The method includes determining a score for each candidate configuration of the one or more candidate configurations. The score represents area coverage of a region of interest and at least one of an amount of setup time of the candidate configuration or an amount of energy used. The method includes determining a set of candidate configurations that has an overall area coverage that covers the region of interest based on the score for each candidate configuration. The method includes controlling a position and an orientation of the object based on the set of candidate configurations.

Abstract: A transfer source action information acquisition unit acquires first action information of the transfer source robot. A transfer destination action information acquisition unit acquires second action information of the transfer destination robot. A correction unit corrects the action information of the transfer source robot by using the second action information and in accordance with a predetermined update formula and thereby generates third action information of the transfer destination robot. The pieces of the second action information of the transfer destination robot are less than the pieces of the first action information of the transfer source robot. The first to third action information includes a set of data indicative of one or more robot joint values and a set of data indicative of a coordinate value of a robot specific part.

Abstract: The present disclosure provides a positioning method and a robot with the same. The method is applied to a robot having a camera, the method includes: taking a photo of a predetermined area, wherein the predetermined area comprises a marker pattern area; identifying at least two marker points of the marker pattern area and obtaining first coordinate data of each marker point; calculating second coordinate data of the robot in a world coordinate based on parameters of the camera and the first coordinate data of the marker points; and calculating angle data of the robot in the world coordinate based on the first coordinate data of the marker points and the second coordinate data of the robot in the world coordinate. Through the above-mentioned positioning method, the robot can quickly perform monocular visual positioning and reduce the calculation amount of positioning.

Abstract: A server assembly service determines configurations for custom assembled servers based on time-series utilization metadata for servers executing workloads similar to workloads that are to be executed on the custom assembled servers. The server assembly service determines trends in the time-series utilization metadata and compares the identified trends to associations between workload utilization trends and application classes to determine one or more application classes for applications executing the workloads. The service uses the determined application classes to select server configurations for custom servers that are to be assembled to execute workloads similar to the workloads related to the server utilization metadata. In some embodiments, the service selects custom server configurations without access to applications or application data for workloads of concern.

Abstract: The present disclosure provides a movement control method for a robot as well as an apparatus and a robot using the same. The method includes: obtaining a starting position and an ending position of the robot, in response to a movement instruction being detected; determining a movement path of the robot based on the starting position and the ending position; obtaining pass qualification information of the robot, if the movement path intersects a line corresponding to a preset virtual wall; and moving the robot to the ending position according to the movement path, if the pass qualification information identifying the robot is allowed to traverse the virtual wall. By obtaining the pass qualification information, the robot can return to the working area from the non-working area in the case of an abnormality, while ensuring that the robot does not actively traverse from the working area to the non-working area.

Abstract: A method for allowing even a user with little experience in robot operation to be able to perform correct calibration is provided. A mobile device displays one or more patterns at predetermined positions and transmits information indicating a touch position to a control device according to touching applied to the touch position in a state that the patterns are displayed. The control device calculates a parameter set based on an image measurement result obtained by a visual sensor when the mobile device is disposed in an image visual field in a state that the patterns are displayed, a touch position when the mobile device is touched by a robot, and a distance between a position of the mobile device when disposed in the imaging visual field and a position when the mobile device is touched by the robot.