The present invention relates to a robot comprising a horizontal or horizontally slanted transparent experiment layer being adapted to support items at arbitrary positions on or in the experiment layer, and a moveable sensor arranged below the transparent experimental layer said sensor being configured for providing a sensor signal indicative of item(s)' location on the experiment layer, an actuator arranged for being moved into different positions above the horizontal transparent layer a display device being configured for visually representing located item(s) a user input device configured for receiving information as to operation of the actuator.

A method and system for calibration of an augmented reality (AR) device's position and orientation based on a robot's positional configuration. A conventional visual calibration target is not required for AR device calibration. Instead, the robot itself, in any pose, is used as a three dimensional (3D) calibration target. The AR system is provided with a CAD model of the entire robot to use as a reference frame, and 3D models of the individual robot arms are combined into a single object model based on joint positions known from the robot controller. The 3D surface model of the entire robot in the current pose is then used for visual calibration of the AR system by analyzing images from the AR device camera in comparison to the surface model of the robot in the current pose. The technique is applicable to initial AR device calibration and to ongoing device tracking.

Systems and methods for hands-on training of students. Such a system includes one or more programmable controllers configured to interact with one or more external devices. Each programmable controller includes a microcontroller, a memory device, an interface for remotely accessing the programmable controller, and at least one bus interface for interfacing with an external microcontroller of another programmable controllers. The method includes functionally coupling a first of the programmable controllers to an external device, programming the first programmable controller to operate the external device, and providing instructions to the external device through the programmable controller from a remote location relative to the first programmable controller.

Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

Robot access control and governance for robotic process automation (RPA) is disclosed. A code analyzer of an RPA designer application, such as a workflow analyzer, may read access control and governance policy rules for an RPA designer application and analyze activities of an RPA workflow of the RPA designer application against the access control and governance policy rules. When one or more analyzed activities of the RPA workflow violate the access control and governance policy rules, the code analyzer prevents generation of an RPA robot or publication of the RPA workflow until the RPA workflow satisfies the access control and governance policy rules. When the analyzed activities of the RPA workflow comply with all required access control and governance policy rules, the RPA designer application may generate an RPA robot implementing the RPA workflow or publish the RPA workflow.

Systems and methods are provided for improved generation and selection of robot sensor data for manual annotation and/or use in training machine learning models used to operate robots. An on-robot controller can operate to determine a cross-modal inconsistency, that a temporally proximate target task was failed, and/or that a confidence in a model output indicate that particular sensor data should be transmitted to a remote system for human annotation and/or use in updating the machine learning model(s) of the robot. Embedding vector(s) representing such selected sensor data (e.g., representing common aspects across a population of sets of sensor data) could also be determined and transmitted to the robot. The robot could then determine embeddings for sensor data and, if the embeddings are similar enough to the transmitted embedding(s), the sensor data could be transmitted to the remote system for annotation and/or model updating.

Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

The present invention relates to a robot comprising a horizontal or horizontally slanted transparent experiment layer being adapted to support items at arbitrary positions on or in the experiment layer, and a moveable sensor arranged below the transparent experimental layer said sensor being configured for providing a sensor signal indicative of item(s)' location on the experiment layer, an actuator arranged for being moved into different positions above the horizontal transparent layer a display device being configured for visually representing located item(s) a user input device configured for receiving information as to operation of the actuator.

Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

In a case where an administration server is disposed, and manages and operates a plurality of robots, a robot operation may be impaired due to a request interval for extracting sensor information stored in a robot from the robot, the types of sensors, and the number of sensors.