The invention relates to a method for controlling a plurality of mobile driverless manipulator systems (10, 20), in particular driverless transport vehicles in a logistics environment for manipulating objects (30). In the method, ambient information is provided by a central control device (40), and in one step, an object to be moved (30) in the surroundings is detected. The position and the pose of the detected object are used for updating the ambient information and are taken into account in the path planning of the mobile driverless manipulator systems (10, 20) in that, prior to a movement of the detected object (30), a first mobile driverless manipulator system (10) is used to check whether the detected object (30) is needed for the orientation of a second mobile driverless manipulator system (20).

The present invention is directed to a method for the material-removing machining of a component for a turbomachine that includes the steps of i) recording a distance image by contact-free measurement of at least one surface of the component that is to be machined; ii) comparing the distance image to a computer model of the component and determining the sites of the component that are to be machined based on deviations between the distance image and the computer model; iii) generating a tool path for the sites of the component that are to be machined; and iv) material-removing machining of the component on the basis of the tool path by spark erosion, laser drilling, or conventional drilling.

Disclosed is a robot surveillance system for preventing a robot from falling down or collision by means of dynamic detection of moving object invasion. The system includes a light-emitting unit, an image capture unit, an image processing unit, a turning control unit, and a wireless transceiver unit. The image capture unit combines with an optic pattern to provide a visual module for the moving or surveillance robot. The shape of the optic pattern changes as the robot moves toward the object or pothole, and the image processing unit recognizes the detected object to be standstill, and thus controls the moving direction of the robot to effectively avoid falling or collision. Any moving object in the space is detected by the object motion detection, thereby effectively achieving the goal of spatial surveillance and security.

A computer implemented method for updating a scene representation model is disclosed. The method comprises obtaining a scene representation model representing a scene having one or more objects, the scene representation model being configured to predict a value of a physical property of one or more of the objects; obtaining a value of the physical property of at least one of the objects, the obtained value being derived from a physical contact of a robot with the at least one object; and updating the scene representation model based on the obtained value. An apparatus is also disclosed.

A method for setting more precisely a position and/or an orientation of a device head in a measuring environment by a distance measuring device which has a number of M, M1, distance measuring sensors and which is connected to the device head. A control device is communicatively connected to the distance measuring device and an on-board sensor device. The position and/or the orientation of the device head is determined by the on-board sensor device and the position and/or the orientation of the device head determined by the on-board sensor device is set more precisely by the control device.