Provided is a driving assistance system using a magnetic marker capable of providing more pieces of information. In the driving assistance system for assisting driving of a vehicle, a magnetic marker (1) including a magnet sheet (11) serving as a magnetism generating unit which generates a magnetic field and also an RFID tag (15) as an information providing unit which provides information to a vehicle side is laid on a travelling road of the vehicle, and the vehicle includes a magnetic sensor serving as a magnetism detecting unit which magnetically detects the magnetic marker (1) and also a tag reader as an information acquiring unit which acquires the information provided by the RFID tag (15) included in the magnetic marker (1).

Autonomous or automated mobile robots can be configured for transport and logistics applications. Systems for docking of such robots with wheeled carts can be used in methods for operation of such robots.

A robot includes: at least one sensor configured to detect an external environment within a viewing zone of the at least one sensor; at least one memory storing information on a travel space including a privacy protection zone; and at least one processor configured to: identify whether the viewing zone of the at least one sensor will be within a predetermined distance from the privacy protection zone while the robot travels along a travel path in the travel space, based on identifying that the viewing zone of the at least one sensor will be within the predetermined distance, determine whether the viewing zone of the at least one sensor will overlap with the privacy protection zone based on the travel path, and based on determining that the viewing zone of the at least one sensor will overlap with the privacy protection zone, change a heading direction of the robot from a first heading direction to a second heading direction to prevent the viewing zone of the at least one sensor from overlapping with the privacy protection zone.

A system for determining a crop edge and a self-propelled harvester using the system for automatic control are disclosed. The system comprises a camera that generates optical information of a front environment of the harvester. The system further includes a computing unit that analyzes the images using artificial intelligence so that a planted area of a field on which a plant crop is located may be delimited from a remaining residual area of the field, thereby determining the plant crop. In turn, the computing unit is further configured to determine the crop edge of the plant crop based on the determination of the plant crop and to automatically control the harvester based on the determination of the crop edge.

Provided is a mobile object control device including a storage medium storing a computer-readable command and a processor connected to the storage medium, the processor executing the computer-readable command to: acquire a photographed image, which is obtained by photographing surroundings of a mobile object by a camera mounted on the mobile object, and an input instruction sentence, which is input by a user of the mobile object; detect a stop position of the mobile object corresponding to the input instruction sentence in the photographed image by inputting at least the photographed image and the input instruction sentence into a trained model including a pre-trained visual-language model, the trained model being trained so as to receive input of at least an image and an instruction sentence to output a stop position of the mobile object corresponding to the instruction sentence in the image; and cause the mobile object to travel to the stop position.

The present disclosure relates to a moving robot, a moving robot system, and a method for moving to a charging system of the moving robot, wherein the moving robot moves to the charging system based on a reception result obtained by receiving a plurality of transmission signals transmitted from the charging station and a sensing result obtained by sensing a magnetic field state.

A lift system for an automated storage system of the type where storage containers are stacked in storage columns arranged in a grid, and where automated container handling vehicles retrieve and replace containers from a top level of the grid. The lift system has a platform vertically movable adjacent to a face of the grid, arranged for receiving and transporting one or more containers. A dedicated mechanical device is arranged for grabbing, lifting and moving the storage containers from a staging area at the top of the grid and placing containers on the platform and vice versa.

A system or method for an imaging system is provided for inspecting a heliostat. The imaging system includes a platform and a camera mounted on the platform and a heliostat having a plurality of mirrored facets. The camera is positioned to acquire a first image that serves as a reference image and a second image that is a reflected image from at least one facet. The camera stores image data associated with the first image and the second image, and wirelessly transmits the stored image data to a computing apparatus. The computing apparatus compares the first image with the second image and determines a performance parameter associated with the heliostat.

The present invention relates to a control method for a control apparatus for an aircraft, the control apparatus including a communication unit and a processor. The control method includes receiving an address of a delivery location to which a delivery product is to be delivered, and controlling an aircraft by means of the communication unit to deliver the delivery product to the delivery location, in which the controlling of the aircraft by means of the communication unit includes selecting, on the basis of the address, any one of a plurality of delivery criteria that defines an area into which the aircraft is to unload the delivery product, establishing a delivery area and a flight lane to the delivery area on the basis of the delivery criterion, controlling the aircraft to allow the aircraft to fly along the flight lane, and controlling the aircraft to unload the delivery product into the delivery area when the aircraft reaches the delivery area.

A correction method for a gyro sensor which measures angular velocity of a vehicle about an axis in a vertical direction includes a generation process of performing a process on a difference between a measured azimuth obtained by performing a process on an sensor output, which is an output from the gyro sensor, and a vehicle azimuth estimated by using markers arranged along a traveling road of the vehicle to obtain correction information and a correction process of correcting the measured azimuth obtained by performing the process on the sensor output, which is the output from the gyro sensor, by using the correction information.