A moving body capable of autonomously traveling and having a function of leading a first vehicle that travels while following the moving body, the moving body comprises a first sensor that detects an obstacle; and a controller configured to execute sensing of a region around the first vehicle by the first sensor before the moving body starts leading the first vehicle.

A method of loading and/or unloading a loading space is provided having a loading vehicle that drives into the loading space at least once to place down and/or to collect at least one load object, wherein an access zone of the loading space is safeguarded by at least one first sensor and the loading vehicle is safeguarded by at least one second sensor, In this respect, on driving into the loading space, the loading vehicle first drives to a first position that is so close to the safeguarded access zone that no person fits between the loading vehicle and the safeguarded access zone and the safeguarding of the access zone is then adapted by the first sensor such that a drive-through corridor for the loading vehicle is created.

The present invention relates to a monitoring sensor for the spatially resolved detection of objects in a monitored zone in accordance with the principle of triangulation, comprising a light transmitter for transmitting transmitted light into the monitored zone, wherein the light transmitter comprises a light source and a transmission optics that has an optical axis; a light receiver that has a plurality of receiver elements for receiving light from the monitored zone that is remitted by an object to be detected; and a reception optics arranged upstream of the light receiver.

The invention further relates to a floor-bound vehicle having a monitoring sensor.

Disclosed are a method for dividing a robot area based on boundaries, a chip and a robot. The method includes: setting, when the robot travels along the boundaries in a preset boundary direction in an indoor working area, a reference division boundary line according to data scanned by a laser sensor of the robot in real time; and identifying, after the robot finishes traveling along the boundaries in the preset boundary direction, a door at a position of the reference division boundary line according to image characteristic information of the position of the reference division boundary line acquired by a camera of the robot, and marking the reference division boundary line on a laser map, so as to divide the indoor working area into different room subareas by means of the door.

An example method includes obtaining information about a path that an autonomous vehicle is to travel during movement of the autonomous vehicle through an environment, and generating a virtual envelope that surrounds the autonomous vehicle and that has at least two dimensions that are greater than two corresponding dimensions of the autonomous vehicle. A length of the virtual envelope along the path is based on at least one of (i) a predefined duration that the autonomous vehicle can travel along the path or (ii) a duration that the autonomous vehicle can travel along the path without stopping. A velocity of the autonomous vehicle is based on the virtual envelope.

Disclosed are a navigation method and a self-walking device. The navigation method is applied to the self-walking device and includes: determining a candidate region after a current task is completed; determining whether a reachable position adjacent to the candidate region exists; and controlling, in response to an existence of the reachable position adjacent to the candidate region, the self-walking device to reach the reachable position, and controlling the self-walking device to attempt to enter the candidate region to operate in the candidate region.

In order to achieve the purpose, a robotic cleaner according to an aspect of the present disclosure includes: a traveling unit for moving a body in a traveling region; a distance measuring sensor for acquiring distance sensing information about a distance to an object outside the body; and a control unit which generates a grid map about the traveling region from the distance sensing information, performs, when dividing the traveling region into a plurality of sub-areas, ray casting on a plurality of traveling nodes on a path of the grid map with respect to each sub-area to search for an open space, and sets an open node for the open space to calculate a topology graph between the traveling nodes and the open node. Therefore, efficiency can be improved by minimizing unnecessary traveling when traveling for searching for a space in which additional traveling is required. Furthermore, avoidance traveling can be reduced by setting the cleaner to travel along the center of a passage during additional search traveling.

The present invention relates to grid and voxel positioning methods based on a laser observation direction, a robot, and a chip. The grid positioning method comprises: selecting two preset intersection points that are in a same preset grid in which a laser point is located; then, in the two preset intersection points, setting the preset intersection point farthest from an observation point as a first preset intersection point, and setting the preset intersection point closest to the same observation point as a second preset intersection point; and according to a magnitude relationship between a ratio of a second preset distance to a first preset distance and a preset proportion coefficient, determining a target grid hit by the laser point in the direction of an observation ray, so as to form a latest hit grid position of the laser point within the two-dimensional grid map.

Disclosed is an autonomous mobile service robot system for recognizing an automatic door and, in more detail, an autonomous mobile service robot system for recognizing an automatic door, the autonomous mobile service robot system enabling an autonomous mobile service robot to recognize an automatic door during moving, pass through the automatic door without an error in determination, and autonomously drive safely and stably for services by recognizing and defining information about an automatic door in simultaneously localization map-building (SLAM) of an autonomous mobile service robot that is operated for multiple purposes so that an accurate map considering location information of the automatic door is built.

A method includes receiving one or more past trajectories navigated by a robotic device in an environment, wherein the one or more past trajectories are associated with initial environmental sensor data and one or more obstacle detection heuristics. The method also includes determining, based at least on subsequent environmental sensor data, one or more updated obstacle detection heuristics. The method further includes determining, based on the one or more updated obstacle detection heuristics and the initial environmental sensor data, one or more predicted drivable areas in the environment. The method additionally includes, based on the one or more predicted drivable areas including the one or more past trajectories, using the one or more updated obstacle detection heuristics to determine future navigation of the robotic device.