Abstract: Transporting loads is a fundamental component of intralogistics. Autonomous industrial trucks can be used for this. The autonomous industrial truck claimed according to the invention is able, by means of the implemented navigation, load receiving and load placing methods, to ensure efficient transporting of loads. The invention relates to an autonomous industrial truck having a rearwardly-directed sensor unit for detecting the load and the loading environment and implemented process sequences for approaching the load, receiving the load and placing the load.

Abstract: The invention comprises a method and a system for conveying a mobile robot in an elevator involving the monitoring of elevator operating components and of persons surrounding the elevator and operating the elevator by selecting a floor to which the mobile robot is to move. In one aspect an inertial sensor is used to learn or determine the number of floors. The robot may also have methods implemented to assess the floor space inside the elevator or to position itself in front of the elevator in such a way that it can, for example, monitor the operation of elevator operating components without being perceived as an obstacle from the elevator users' perspective.

Abstract: System and method for capturing a movement sequence of a person. The method comprises capturing a plurality of images of the person executing a movement sequence by means of a contactless sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated. In addition, vital signs and/or signal processing parameters of the person can be acquired and evaluated.

Abstract: A system and a method for capturing a movement pattern of a person. The method comprises capturing a plurality of images of the person executing a movement pattern by means of a non-contact sensor, the plurality of images representing the movements of the body elements of the person, generating at least one skeleton model having limb positions for at least some of the plurality of images, and calculating the movement pattern from the movements of the body elements of the person by comparing changes in the limb positions in the at least one skeleton model generated.

Abstract: A system and method of providing augmented reality (AR) information uses a camera to take images from a mobile device's environment. These images are compared to images stored in an image-object database to identify objects within these images. The objects are compared to objects stored in a database with AR information to display the AR information as an overlay of the real image on the mobile device. The AR information is generated from a mobile device user preference database. The preferences are matched with a second user's preferences obtained from data mining activities across a store management system, ERP system, CRM system, data on sales figures tied to customer data, and the like. An additional image-object localization database provides detailed localization information for objects identified. The store management system, ERP, or CRM system can facilitate electronic analysis of products, sales and customer data.