Embodiments are provided that include maintaining a map of a plurality of markers in an environment. The map includes a last detection time of each marker of the plurality of markers. The embodiments also include receiving a set of detected markers from a robotic device that is configured to localize in the environment using the plurality of markers. The embodiments further include updating, in the map, the last detection time of each marker which has a mapped position that corresponds to a detected position of a detected marker in the set of detected markers. The embodiments additionally include identifying, from the plurality of markers in the map, a marker having a last detection time older than a threshold amount of time. The embodiments still further include initiating an action related to the identified marker.

A calibration device (500, 1000) for calibrating a floor surfacing system (200), the calibration device comprising at least four infrared sources (510, 520, 530, 540) arranged separated from each other on a structural member (501) according to a known geometrical configuration, where three of the infrared sources (510, 530, 540) are located in a common plane and where a fourth infrared source (520) is located distanced from the common plane along a normal vector to the common plane, wherein the calibration device (500, 1000) is arranged to be positioned at one or more locations around a perimeter of the surface to be processed in view from an nfrared vision sensor (210), whereby the infrared vision sensor may obtain images of the calibration device at the one or more locations.

The disclosure relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a marker detection step of detecting markers and identifying a pair of markers; a pose matching step of performing pose matching based on vehicle position information and the pair of markers; a non-pose matching step of performing non-pose matching based on the pair of markers, to obtain latest vehicle position information; and a position update step of updating current vehicle position information based on the latest vehicle position information obtained in the pose matching step or the non-pose matching step.

A multi-robot system includes a first a mobile cleaning robot that has a local storage device to store a persistent map of an environment, at least one sensor to sense the environment, and a control module. The control module is configured to: control the mobile cleaning robot to navigate in the environment using the persistent map and sensing data provided by the at least one sensor, share the persistent map with a second mobile cleaning robot, and coordinate with the second mobile cleaning robot to perform cleaning tasks.

A method for navigating a sensor-equipped mobile platform through an through an environment to a destination, the method including: capturing a first image in a first state of illumination; capturing a second image in a second state of illumination; generating a difference image from said first image and said second image; locating an imaging target based on said difference image, said imaging target including a machine-readable code embedded therein, said machine-readable code including navigation vector data; extracting said navigation vector data from said machine-readable code; and using said extracted navigation vector data to direct the navigation of the mobile platform through the environment to a destination.

A control unit is provided to improve positioning of transporting devices to thereby allow transporting devices to be driven at faster speeds and/or accelerations with minimal positional errors allowing for a reduction in the spacing between transporting devices. A control unit is arranged to control movement of at least one transporting device for containers stored in a facility having a plurality of pathways arranged in cells so as to form a grid-like structure above the stacks which extends in a first direction and in a second direction. The control unit includes a receiving unit arranged to receive information from a first sensor mounted on the at least one transporting device, and a calculating unit arranged to calculate a position of the at least one transporting device based on the received information.

A work machine has a backup camera that captures images of an area of a worksite behind the work machine. A controller identifies pre-defined markings in the worksite and localizes the pre-defined markings to the work machine, based on the images. A control signal generator generates control signals to automatically control the work machine based upon the localized markings.

A method, which can be implemented by a control unit, for carrying out a localization of at least one vehicle by a vehicle-side control unit includes receiving measuring data from at least one sensor, ascertaining at least one marking from the measuring data, and associating the ascertained marking with a marking entered into a digital map for determining a position.

This application relates to a navigation method and a navigation apparatus. The navigation method is executed by a mobile carrier and includes: moving along a preset guide trajectory body according to obtained target location information; and determining whether a current state of the mobile carrier is out-of-position, and in response to determining that the current state of the mobile carrier is out-of-position, obtaining current initialization location information of the mobile carrier after moving to a preset initialization tag. According to embodiments of the disclosure, reliable operation of the mobile carrier is ensured by re-initializing the mobile carrier in a case that an error occurs in the mobile carrier along the preset guide trajectory body.

Currently teleconferencing robotic systems available are not smart and unable to navigate based on specific path and fail to focus on presenter based on overall environment. This disclosure relates to method of dynamic localization of a telepresence robot based on plurality of live markers. A plurality of images is received from an image capturing device connected to the telepresence robot. The plurality of images is processed to identify the plurality of live markers in a path of the telepresence robot. A binary matrix is decoded to identify at least one identifier (ID) associated with the at least one live marker from the plurality of live markers. A plurality of parameters is identified based on the at least one ID associated with the at least one live marker. A further path is dynamically localized to navigate the telepresence robot based on the plurality of parameters and the plurality of live markers.