A system for providing 3D surveying of an environment by an autonomous robotic vehicle comprising a SLAM unit for carrying out a simultaneous localization and mapping process, a path planning unit to determine a path to be taken by the autonomous robotic vehicle, and a lidar device. The lidar device is configured to generate the lidar data which allows the SLAM unit to receive the lidar data as part of the perception data for the SLAM process. The path planning unit is configured to determine the path to be taken by carrying out an evaluation of a further trajectory within a map of the environment in relation to an estimated point distribution map for an estimated 3D point cloud, which is provided by the lidar device on the further trajectory and projected onto the map of the environment.

Described herein are technologies that use LIDAR and computer vision to detect locations of receiving vehicles grouped together relative to a forage harvester and detect fill levels of crop material within each receiving vehicle and path and landing position of material expelled from the harvester into a bin of a receiving vehicle of the group. Such information is used as feedback for operating the harvester or one or more self-propelled vehicles moving the receiving vehicles. Some embodiments detect ground level in front of the harvester or the receiving vehicles and use such information as feedback. Some embodiments include a link to communicate the feedback to a GUI for user visualization of the feedback and semi-automated operations. For example, readings from LIDAR and a camera of the harvester detect a position and a crop material fill level for each receiving vehicle in the group, and the GUI outputs the information.

A system for automated guided vehicle safety may include an automated guided vehicle (AGV) having a propulsion system configured to move the AGV, and a processor configured to control the propulsion system, and a laser imaging system configured to deploy a virtual safety fence at least partially surrounding the AGV. The laser imaging system may include a plurality of laser imaging sensors including a front sensor and a rear sensor, and a movable boom, the front sensor being mounted to the movable boom and configured to extend in front of the housing of the AGV.

A method for determining at least one action of a robot, including capturing, with an image sensor disposed on the robot, images of objects within an environment of the robot as the robot moves within the environment; identifying, with a processor of the robot, at least one object based on the captured images; marking, with the processor, a location of the at least one object in a map of the environment; and actuating, with the processor, the robot to execute at least one action based on the at least one object identified.

A mother-child robot cooperative work system and a work method thereof include a mother robot and a charging base0, in which the mother robot is provided with a control unit and a work unit. The system also includes child robot, communicatively coupled to the mother robot. The mother robot performs cleaning for a work area under the control of the control unit, and recognizes cleanable area and assisted cleaning area in a cleaning process. After cleaning work in the cleanable area is completed, the control unit in the mother robot controls the child robot to cooperatively complete the cleaning work in the assisted cleaning area. The mother robot is provided with a child robot pose sensing unit. The unit inputs child robot pose information to the control unit; and the control unit controls the child robot to act as indicated.

Disclosed are a robot, a charging station, and a robot charging system comprising same. The charging station of the present disclosure may comprise: at least one indicator; at least one reflector configured to reflect light received from the outside to the at least one indicator; an interface configured to dock an external device; and a processor that, when it is detected that the external device is docked in the interface, supplies power to the docked external device through the interface. In addition, the robot of the present disclosure may comprise: a driver; a sensor; and a processor is configured to, when light irradiated to a charging station by means of a light emitter of the sensor is reflected by at least one indicator of the charging station and then received by a light detector of the sensor, perform alignment for docking on the charging station on the basis of a pattern of the reflected light, and after performing the alignment, control the driver such that the robot may be docked on the charging station.

A method for driving a tractor on a flatbed trailer. The method includes locating a starting position of the tractor, determining a final position for the tractor, and searching for a ramp attached to the flatbed trailer. A driving path is calculated to drive the tractor from the starting position, along the ramp, and to the final position. The tractor is autonomously operated to drive along the driving path. The method may periodically detect an intermediate position of the tractor and determining if the intermediate position is located on the driving path. The driving path may be updated with a course correction to drive the tractor from the intermediate position to the final position. The tractor is stopped after arriving at the final position.

The invention provides a control system for a construction machine comprises a construction machine and a measuring instrument, wherein the construction machine comprises at least two targets, a tilt detecting component, a driving unit, a machine control unit and a machine communication unit, wherein the measuring instrument comprises a distance measuring unit, an optical axis deflecting unit for deflecting the optical axes, a projecting direction detecting unit for detecting a deflection angle and a deflecting direction and a measurement control unit for determining a measuring point and transmitting a measurement result, wherein the measurement control unit allows the distance measuring unit to alternately measure the targets and calculates a direction and front-back and left-right tilts of the construction machine based on three-dimensional positions of the targets and a detection result of the tilt detecting component, and the machine control unit controls the driving unit based on a calculation result.

Disclosed embodiments include an unmanned vehicle, a method, apparatus and system for positioning an unmanned vehicle. In some embodiments, the method includes: acquiring first laser point cloud height value data matching a current position of the unmanned vehicle, the first laser point cloud height value data; converting the first laser point cloud height value data into laser point cloud projection data in a horizontal earth plane; determining a first matching probability of the laser point cloud projection data in a predetermined range of a laser point cloud height value map; and determining a position of the unmanned vehicle in the laser point cloud height value map based on the first matching probability. The embodiment implements an accurate positioning on the current position of the unmanned vehicle.

A system for backing a trailer with a vehicle is provided herein and includes a mobile electronic device with which a user inputs an intended backing path for the trailer. A controller autonomously controls the vehicle to back the trailer according to the intended backing path. The controller communicates with a sensing system to determine if the user has lost sight of at least one of the vehicle and the trailer.