Robart Gmbh

Robartgmbh

Rotrade Asset Management Gmbh

Christoph Freudenthaler

Reinhard Vogel

Harold Artes

David Conti

Erwin Mascher

Michael Schahpar

Dominik Seethaler

Harold Artés

Fabian Lenhardt

Vladimir Alexandrov

Harald Artes

A method for processing a surface of an area to be processed using an autonomous mobile robot. The method includes the steps of controlling the robot in order to process the area according to a first processing pattern, monitoring a region in the surroundings of the robot, wherein the region has a fixed position relative to the robot, and controlling the robot in order to process the area according to a second processing pattern if a reachable and unprocessed region is detected in the monitored region.

Robot-assisted processing of a surface using a robot

A method for controlling an autonomous, mobile robot which is designed to navigate independently in a robot deployment area, using sensors and a map. According to one embodiment, the method comprises detecting obstacles and calculating the position of detected obstacles based on measurement data received by the sensors, and controlling the robot to avoid a collision with a detected obstacle, the map comprising map data that represents at least one virtual blocked region which, during the control of the robot, is taken into account in the same way as an actual, detected obstacle.

Method for controlling an autonomous, mobile robot

An optical triangulation sensor for distance measurement is described herein. In accordance with one embodiment, the apparatus comprises a light source for the generation of structured light, an optical reception device, at least one attachment element and a carrier with a first groove on a lateral surface of the carrier, wherein the light source and/or optical reception device is at least partially arranged in the first groove and is held in place on the carrier by the attachment element.

Optical triangulation sensor for distance measurement

In the following, a system having an autonomous mobile robot and a base station for the robot is described. In accordance with one example, the robot comprises a navigation module with a navigation sensor for detecting geometric features of objects in the environment of the robot. The base station has at least one geometric feature which can be detected by the robot by means of the navigation sensor. The robot includes a robot controller that is coupled with the navigation module, the robot controller being configured to identify and/or localize the base station and/or to determine a docking position of the robot based on the at least one geometric feature of the base station.

Identification and localization of a base station of an autonomous mobile robot

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Linz, Austria

Christoph Freudenthaler