A monitoring device for monitoring a boundary section of a safety zone for detecting an object at least partially entering or leaving the safety zone through the boundary section is provided. The monitoring device comprises: a light curtain device for detecting an object touching the boundary section; at least one radar device for detecting a movement direction of the object relative to the boundary section and/or a material property of the object; and an evaluation device for emitting an evaluation result based on a radar device signal from the radar device and optionally based on a light curtain device signal from the light curtain device.

The invention relates to a robot cell (1) provided for use on machine tools and/or assembly machines. The robot cell (1) includes a handling device, e.g. an industrial robot (2). By means of the robot cell (1), a workpiece (4) to be processed on the machine tool or the assembly machine can be removed from an incoming transport container, pre-processed, orientated, inserted into the machine tool or assembly machine, removed from the machine tool or the assembly machine, measured and placed or stacked in an outgoing transport container. The robot cell (1) can be used on different machine tools or assembly machines. In order to facilitate operation of a robot cell (1) of this kind, the robot cell (1) can be used on the machine tool or the assembly machine without being linked or connected to the machine tool or the assembly machine, the robot cell (1) has an optics device (5), by means of which, in conjunction with reference markings on the machine tool or assembly machine, the robot cell (1) can be positioned in its operating position on the machine tool or the assembly machine, wherein by means of a control apparatus (6) and the handling device connected thereto or the industrial robot (2) connected thereto of the robot cell (1), operating elements on the machine tool or assembly machine can be contacted, operated and controlled.

A service station for vehicles of an autonomous vehicle fleet. The service station includes at least one service module that is designed to identify the dirtiness of at least one vehicle component of the vehicle. The service module also includes at least one mobile robot and/or a robot arm on which a tool is arranged for identifying dirtiness. The tool includes at least one optical sensor and preferably at least one light source and/or at least one vapor emitter.

What is disclosed is a robot gripper having a receiving area which is configured to be connected to an industrial robot, and having at least one suction unit which is configured to be connected to a vacuum source. The suction unit comprises a suction surface on which a preferably plate-shaped workpiece, which preferably consists at least in sections of wood, wood materials, plastic, aluminum or the like, can be held by means of negative pressure. The suction unit comprises a substantially straight pressing edge in an edge section. The robot gripper further comprises an actuator configured to tilt the suction unit about a first tilt axis relative to the receiving area.

Values of parameters specifying conditions for obtaining 3D measurement data representing a measurement object are output as values satisfying a condition designated by a user. The technique includes setting and changing, within a predetermined range, values of parameters specifying conditions for obtaining 3D measurement data represented by 3D coordinates indicating points on a surface of the measurement object, measuring the measurement object to obtain 3D data sets representing the measurement object based on the parameter values resulting from the setting or the change, registering the 3D data sets, storing an identification result of the measurement object based on 3D data obtained through the registration in association with the parameter values, receiving, from a user, designation of a priority condition for obtaining 3D measurement data, and outputting a combination(s) of values of parameters satisfying the priority condition based on association between identification results of the measurement object and the parameter values.

The present invention provides an automated system for spraying a wall of a building. The automated system comprises a boom lift having a linear track disposed thereon, wherein the linear track is disposed horizontally with respect to the height of the building; a robotic mechanism slidably mounted on the linear track of the boom lift, the robotic mechanism further having an end effector adapted for supporting a spray nozzle thereon; a visual monitoring system configured to scan structural characteristics and profiles of the wall; a computing device disposed in communication with the visual monitoring system and the robotic mechanism, wherein the computing device is configured to receive the scanned structural characteristics and profile of the wall from the visual monitoring system; and controller communicably coupled to the computing device, the controller configured to independently control operation of respective ones of the robotic mechanism, and the spray nozzle according to the scanned structural characteristics and profiles of the wall.

A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.

Disturbance compensation in computer-assisted devices include a first articulated arm configured to support an imaging device a second articulated arm configured to support an end effector, and a control unit coupled to the first articulated arm and the second articulated arm. The control unit is configured to set a first reference frame, where the first reference frame is based on a first position of the imaging device at a first time. The control unit is further configured to detect a first disturbance to the first articulated arm moving the imaging device away from the first position, receive a command to move the end effector, and transform the command to move the end effector from a command in the first reference frame to a command in a reference frame for the end effector.

A system and method for operating a transport robot to simultaneously grasp and transfer multiple objects is disclosed. The transport robot includes a multi-gripper assembly having an array of addressable vacuum regions each configured to independently provide a vacuum. The robotic system receives image data representative of a group of objects. Individual target objects are identified in the group based on the received image data. Addressable vacuum regions are selected based on the identified target objects. The transport robot is command to cause the selected addressable vacuum regions to simultaneously grasp and transfer multiple target objects.

Various embodiments generally relate to robotics and more specifically to tank seal inspections. In some embodiments, the robotic inspection device comprising a power supply, a body, a drive system, a camera, a navigational system, and/or one or more sensors. The drive system may include one or more surface engaging drivers to propel the robotic inspection device along a surface of a tank. The camera can be housed within the body to capture images and/or video of a seal. The navigational system can compute a route (or receive commands that route) and send commands to the drive system to navigate the robotic inspection device along the surface of the tank allowing the camera to capture the images or video of the seal. Some embodiments may use an artificial intelligence or machine learning engine to review the images or video of the seal and identify potential problems.