Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The embodiments described herein relate, inter alia, to a method for controlling an autonomous mobile robot which can operate in a first and at least one second contour-following mode, wherein, in each of the contour-following modes, the robot maintains a substantially constant distance away from a contour while it moves along the contour. According to one exemplary embodiment, the method comprises the following: starting the first contour-following mode, in which the robot follows the contour in a first direction of travel; detecting a dead-end situation, in which it is not possible to continue following the contour in the first contour-following mode without collision; starting a second contour-following mode, in which the robot follows the contour in a second direction of travel; and defining a criterion, the fulfilment of which terminates the second contour-following mode, and continually evaluating the criterion while the robot operates in the second contour-following mode.

Abstract: An embodiment relates to a method for controlling an autonomous mobile robot, comprising the following steps: controlling the robot in a treatment mode to treat a floor surface by means of a floor treatment module of the robot, detecting, by means of a dirt sensor mounted on the robot, a dirt sensor signal representing the soiling of the floor surface, and modifying the speed of the robot in response to the dirt sensor signal.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.