Advanced control systems and methods for precise navigation and positioning of unmanned vehicles (UVs) without reliance on GPS. A hierarchical marker including nested geometric shapes with distinct visual features, detectable by a camera mounted on the UV is utilized. An image processing unit processes the captured images, identifying marker levels to guide the UV through multiple stages of approach. An integrated UV controller, including an autopilot module, dynamically switches between autopilot modes corresponding to each detected marker level, ensuring precise alignment and positioning.

A driving method of an automated guided vehicle including a guide sensor and moving along a path guide, includes first scanning the path guide, while rotating at a first set angle, determining whether the path guide is detected during the first scanning, and if the path guide is not detected in the first scanning, performing a second scanning of the path guide while rotating at a second set angle.

A traveling system includes a registration processing unit that registers map data including arrangement information of a plurality of tags, a setting processing unit that sets arrangement information of a plurality of control points in a travelable area of a second automatic traveling device in the map data, and a generation processing unit that generates a first traveling route along which the first automatic traveling device travels by sequentially following the tags and a second traveling route along which the second automatic traveling device travels by sequentially following the control points such that the first automatic traveling device and the second automatic traveling device do not interfere with each other.

Systems and methods for charging power supplies of robotic devise are disclosed herein. A charging dock includes a first surface comprising at least one axis of symmetry defining aligned with a normal approach angle of the robot, two or more charging pads configured to transfer charge and are disposed on a first outer surface of the charging dock, at least one or more slanted surfaces, wherein each of the one or more slanted surfaces are slanted with respect to the first outer surface, and at least one or more computer readable codes affixed to at least one of the one or more slanted surfaces and a flat surface of the charging dock in a position of the charging dock that is transverse to the normal approach angle.

A system for dynamic scan direction control of an automated guided vehicle based on barcode information is provided. The system includes a processing module to identify a position of a data matrix symbol of a first barcode and identify solid sides with minimum number of transitions. The processing module optimizes the identification of the second solid side. The processing module confirms the first solid side of the first barcode and consecutive barcodes based on factors. The system includes a data matrix orientation module to fix a scanning direction for the consecutive data matrix barcodes based on the identified orientation of the first barcode for reducing runtime required for identifying orientation of the first and second solid side. The system includes a scanning direction module to adjust the scanning direction based on AGV movements in real-time. The scanning process is updated based on the movement of the AGV.

An accuracy measurement method of an autonomous mobile vehicle, a calculating device, and an autonomous mobile vehicle are provided. The accuracy measurement method includes a distance calculating step, a regression center calculating step, and an average calculating step. The distance calculating step includes a controlling step, a light beam emitting step, an image capturing step, an image analyzing step, and a converting step. The regression center calculating step is performed after the distance calculating step is repeatedly performed for at least two times. The accuracy measurement method is performed to obtain an X-axis offset in an X-axis direction, a Y-axis offset in a Y-axis direction, and an angle deflection of an autonomous mobile vehicle. In the distance calculating step, the AprilTag on the marker is used in conjunction with the light spot on the marker to calculate an X-axis true distance and a Y-axis true distance.

An automated overhead follower (AOF) system for a picking process includes an overhead rail, a motorized trolley configured to engage the rail and translate along its longitudinal axis in response to position control signals, a light projector connected to the trolley that emits a light beam in response to lighting control signals, and a radio frequency (RF) transmitter connectable to a tray. An electronic control unit (ECU) receives three-dimensional (3D) position signals from the transmitter as the tray moves along a bin aisle, identifies a bin zone in the aisle using the 3D position signals, and transmits the position control signals to a motor to command the trolley to move to the identified bin zone. The ECU also transmits the lighting control signals to the projector to illuminate one of more bins in the identified bin zone.

A map construction method and a related apparatus are provided. The method includes: obtaining sensing data, where the sensing data is obtained by detecting, via a sensor of a mobile apparatus, a physical space in which the mobile apparatus is located, where pre-arranged first markers are placed in the physical space; identifying, based on the sensing data, second markers having a pairing relationship in the first markers; generating a virtual obstacle based on the second markers, where the virtual obstacle is configured to restrict traveling of the mobile apparatus in the physical space; and constructing a map of the physical space based on the virtual obstacle.

An information processing device of the present disclosure includes a ranger that detects a distance to an end part of a stage and detects a predetermined pattern provided on the stage, with infrared light, and an estimator that estimates a self-location on the basis of a detection result of the ranger.

The present invention is an autonomous mobile robot (1) that moves by being guided by a plurality of signs that have a plurality of types of sizes, are aligned along a movement path (10), and includes a first sign and a second sign, the autonomous mobile robot (1) including: an imaging unit (26); a storage unit (25) storing individual identification information of each of a plurality of signs and an individual actual size of each of the plurality of signs; and a calculation unit (27) calculating a distance (D1) to the first sign on the basis of a size of the first sign on image data captured by the imaging unit (26) and the individual actual size of the first sign corresponding to the individual identification information of the first sign.