An acquisition processing unit acquires position information of a work vehicle traveling in a predetermined area in response to a traveling operation by an operator. A recording processing unit records the position information, as a traveling trajectory of the work vehicle, and temporarily stops recording processing of recording the position information, in a case where the work vehicle is brought to a state in which the position information cannot be acquired during traveling. A notification processing unit notifies the operator of information indicating that the recording processing is temporarily stopped. A setting processing unit registers a field, based on the position information.

An evacuation information generation system, an evacuation information generation device, an autonomous traveling device, or an evacuation information generation method is used for generating evacuation information of a traveling area of an autonomous traveling device, acquires observation information obtained by observation by the autonomous traveling device that searches for the traveling area where a hazard is estimated to occur; and outputs the evacuation information as a hazard map or evacuation route data.

An autonomous mobile machine includes a controller. The controller is configured to execute program instructions to implement following steps: controlling, in response to a mapping task instruction, the autonomous mobile machine to move from a mapping start point to a mapping end point, the mapping end point being located in a loading space of a cargo container transportation vehicle; generating a point cloud map during a process of the movement by using point cloud data scanned by the sensor, the point cloud data including point cloud data obtained by scanning the cargo container transportation vehicle; and obtaining a planning map based on the point cloud map. The planning map is used to plan a path within the cargo container transportation vehicle.

A system and method are described that provide for queueing robot operations in a warehouse environment based on workflow optimization instructions. In one example of the system/method of the present invention, a control system causes certain robots to queue proximate to one another to permit resources to be obtained, transported, deposited, etc. without the robots crashing into one another (or into other objects), or forming traffic jams. A robot may remain at an assigned queue position at least until another position assigned to the robot becomes available.

A system and method for measuring and mapping electromagnetic field strength using an unmanned aerial vehicle (UAV) equipped with a field strength indicator. The UAV records signal power levels while tracking its position via GPS, transmitting data in real-time to a ground station. The ground station software generates detailed maps and charts visualizing antenna signal propagation. Users can customize measurement parameters to achieve desired resolution and granularity. The system and method provide an efficient and automated method for assessing antenna performance across various azimuths and elevations.

A system and method are described that provide for directing robot picking activity in a warehouse environment. In one example of the system/method of the present invention, multiple robots are directed by one or more central processors to move to resource locations based on resource retrieval instructions. Once a robot is at or near a resource location (e.g., by a storage rock with an item on it), the resource may be obtained by the robot and/or placed (e.g., by a picker) on a platform linked to and controlled by the robot. The robot may then be directed to transport the resource to an outbound location (e.g., a loading dock). An assignment algorithm may be applied by the one or more processors to regulate movement of a robot according to a calculated arrival time of the robot at a second location.

A method is provided for managing and tracking scouting tasks to obtain map information using a fleet of autonomous vehicles. For instance, the method includes defining a scouting quest to obtain the map information. The scouting quest includes a plurality of objectives. Each objective is associated with a geographic location from which sensor data is to be captured. The method also includes receiving a first update message from an autonomous vehicle of the fleet. The update message identifies a location of the autonomous vehicle. The method also includes assigning at least one of the objectives to the autonomous vehicle based on the location of the autonomous vehicle. The method also includes sending instructions to the autonomous vehicle in order to cause the autonomous vehicle to complete the at least one objective and after sending, tracking a status of the scouting quest.

The present disclosure provides a method for detecting a physical forbidden zone and global relocating of a service robot, the method comprising: presetting an identification on an edge of the physical forbidden zone that the service robot cannot enter in a working scenario; constantly detecting whether there is an artificial identification in the working scenario during operations of the service robot; identifying the artificial identification and confirming a position and heading angle information of the service robot relative to the artificial identification when there is artificial identification information in the working scenario; controlling a motion trajectory of the service robot according to the position and heading angle information of the service robot relative to the artificial identification to forbid the service robot from entering a respective physical forbidden zone.

A method for determining positions of navigation target points includes: acquiring an initial map, wherein the initial map represents a plan view corresponding to an explored area; performing contour extraction processing on the explored area to obtain a first contour map corresponding to the explored area, wherein the first contour map includes one or more connecting sections, and the one or more connecting sections are between adjacent ones of a number of sub-areas in the explored area, respectively; performing dilation processing on the first contour map to obtain a second contour map to remove the connecting sections; based on the initial map and the second contour map, extracting at least one navigation target point area from the explored area; and determining the positions of the navigation target points based on connected components corresponding to the at least one navigation target point area.

The present disclosure relates to an operation method of a computing device for performing a method for producing precise indoor maps using loop closing, including the steps of moving a robot to a first location, wherein the robot collects images and sensor data for precise map production by using a sensor module including at least one of a LiDAR sensor, an IMU sensor; forming a first closed-loop trajectory with an optimized pose graph by odometry estimation from the first location to create a first map using the movement of the robot; updating at least part of a second map generation trajectory and sensor data corresponding to a current trajectory of the robot by using at least one of trajectory information and sensor data of the first closed-loop trajectory; and outputting an updated second map based on the updated second map generation trajectory and sensor data.