Provided are a marker for space recognition, a method of moving and lining up a robot based on space recognition, and a robot, and the robot that lines up and moves based on space recognition includes: a camera sensor that images a marker disposed on a traveling floor of the robot or a side of the traveling floor; and a control unit that analyzes an image captured by the camera sensor, calculates a moving direction or a moving speed of the robot on the basis of the marker, and controls a movement unit.

The present disclosure provides an end-to-end cargo handling system. The end-to-end cargo handling system comprises a transportation unit comprising a first sensing agent, a lift unit comprising a second sensing agent, and a control module in communication with the transportation unit and the lift unit via a network, wherein the transportation unit and the lift unit are configured to move a cargo unit from a first location to a second location autonomously.

A localization and attitude estimation method using magnetic fields includes the following steps. First, in three-dimensional coordinates, at least three magnetic landmarks arbitrarily disposed around a moving carrier are selected, wherein any two of the at least three magnetic landmarks have different magnetic directions. One set of at least five tri-axes magnetic sensors is used to sense the magnetic fields of the at least three magnetic landmarks. Three magnetic components on three axes of a current position of each of the tri-axes magnetic sensors are respectively generated by a demagnetization method. Five non-linear magnetic equations are solved to obtain position information and magnetic moment information of the at least three magnetic landmarks in the three-dimensional coordinates. Position vectors and attitude vectors of the set of at least five tri-axes magnetic sensors in a three-dimensional space are estimated based on tri-axes magnetic moment vectors of the magnetic landmarks.

An AMU system includes an Autonomous Mobile Unit (“AMU”), base station, lanyard, and Warehouse Management System (“WMS”) configured to communicate with one another over a network. The AMU includes a microphone configured to receive verbal commands from an individual. The individual can further provide verbal commands through the base station and the lanyard when worn by the individual. The lanyard can also provide a geo-fence around the individual where the AMU slows down to enhance safety.

A method for remotely controlling a robot situated within a factory infrastructure. The method includes: receiving safety condition signals, which represent at least one safety condition which must be met for the robot to be allowed to be remotely controlled; checking whether the at least one safety condition is met; generating remote control signals for remotely controlling the robot based on a result of the check whether the at least one safety condition is met; and outputting the generated remote control signals. A device, a computer program, and a machine-readable memory medium, are also described.

An automatic truck unloading apparatus and method are provided. The automatic truck unloading apparatus generates sensing information regarding the presence or absence of a pallet on the truck by implementing sensors installed in a region of a truck and a region of a storage area, and sets optimal transport paths for multiple unmanned forklift vehicles based on the sensing information, and unloads a pallet from the truck and moves and stores the pallet in the storage area by implementing an unmanned forklift vehicle.

A transport vehicle (2) that travels along a container shelf (1) is provided with a plurality of levels of shelf portions (11) arranged in a vertical direction (Z) and configured to support containers (W), thereby transporting the containers (W). The transport vehicle (2) is provided with a support region where a container (W) is supported, a first transfer apparatus (23) that inserts/takes the container (W) into/out of the container shelf (1), and a second transfer apparatus (24) that loads/unloads the container (W) on/from the support region. The second transfer apparatus (24) is configured such that a container (W) can be moved to the support region so as to allow a plurality of the containers (W) to be supported in a stacked state in the support region.

An automatic guided vehicles (AGV) can include: motors, wheels, motor controllers, and batteries coupled to an elongated frame. The two wheels can be mounted on opposite sides of the elongated frame. The wheels can be coupled to motors which can be controlled by motor controllers. The motors and motor controllers can be attached to the frame and a connector flange can be mounted on a center portion of the AGV frame. Linkages are used to couple a plurality of AGVs together. In a two AGV embodiment, the AGVs can be mounted to a front portion and a rear portion on a centerline of a platform. In a four AGV embodiment, front width, rear width, left length, and right length linkages can form a parallelogram with AGVs couple to each of the four corners of the parallelogram.

A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.

A device and a method for performing control to change a flexible virtual bumper for maintaining a space between a mobile object and an obstacle to be equal to or larger than a predetermined distance are enabled. A data processing unit that executes control to change the flexible virtual bumper for maintaining the space between the mobile object and the obstacle to be equal to or larger than the predetermined distance, and a drive unit that drives the mobile object in such a way that no obstacle enters the flexible virtual bumper are included. The data processing unit executes control to change the flexible virtual bumper at least either in size or shape. For each one of a plurality of travel route candidates for the mobile object, the data processing unit executes a simulation of changing the bumper size in such a way that no obstacle enters the flexible virtual bumper, and selects a safe travel route.