A type of an object is determined and the movement direction of the object is predicted on the basis of a sensing result of the object sensed by an on-machine obstacle sensor. Information relating to the object that is the object sensed by the on-machine obstacle sensor and has been determined to have moved to the outside of a sensing range of the on-machine obstacle sensor is immediately deleted from an environment map on the basis of the type and the movement direction of the object. This can properly process information on the object that has gotten out of the sensing range, according to the cause of the object getting out of the sensing range.

A self-traveling articulated robot for working in a production factory is provided, which includes a carriage having at least two operation shafts driven by servomotors, respectively, and self-travelable in a two-dimensional plane, a robotic arm supported by the carriage and having at least one operation shaft driven by a servomotor and constituting a joint, an end effector provided to a tip portion of the robotic arm, and a control unit provided in the carriage and for controlling the operation shaft of the robotic arm and the operation shafts of the carriage to operate in cooperation with each other so that a control point defined in one of the robotic arm and the end effector reaches a target position.

Disclosed is a display device. The display device of the present disclosure comprises: a carrier having a built-in battery and a display panel driven by receiving power from the batter, wherein the carrier has a power reception unit for charging the battery and a sensing unit for sensing the remaining battery amount; a cradle which approaches or moves away from the carrier, wherein the cradle has a power transmission unit for providing power to the power reception unit; and a control unit for controlling the distance between the carrier and the cradle and whether the power transmission unit operates, on the basis of the information about the remaining battery amount obtained from the sensing unit.

A control method is for a mobile object that automatically moves in situation where signs each indicating a position are provided on a ceiling of a lateral area on a first direction side with respect to a parking area where a transportation vehicle is parked, along a second direction that intersects the first direction and that is along the parking area. The method includes acquiring positional information of the mobile object by causing the mobile object to detect at least one of the signs; causing the mobile object to move within the lateral area toward the second direction based on the positional information of the mobile object; and causing the mobile object to move toward the parking area by causing the mobile object to turn and move toward an opposite side to the first direction after causing the mobile object to move within the lateral area toward the second direction.

Disclosed herein is a method of controlling a cleaner including a movable body for suctioning and a following body for collecting the dust suctioned by the movable body, the method including: (a) acquiring an image for a view around the following body; (b) acquiring position information of the movable body in an real space, based on the image; (c) acquiring position information of an obstacle in the real space, based on the image; (d) setting a travel direction such that the following body avoids the obstacle to follow the movable body, based on the position information of the movable body and the position information of the obstacle; and (e) controlling the following body to travel in the set travel direction.

A method for employing learnable boundary positions for bounding operation of a robotic vehicle may include detecting temporary indicia of a boundary on a parcel via at least one sensor of a robotic vehicle, generating coordinate or location based boundary information 5 based on the temporary indicia, and operating the robotic vehicle within the boundary based on the generated coordinate or location based boundary information.

A method for detecting boundaries of lanes on a road is presented. The method comprises receiving, by one or more processors from an imaging system, a set of pixels associated with lane markings. The method further includes partitioning, by the one or more processors, the set of pixels into a plurality of groups. Each of the plurality of groups is associated with one or more control points. The method further includes generating, by the one or more processors, a spline that traverses the control points of the plurality of groups. The spline traversing the control points describes a boundary of a lane.

System for use in directing an article sorting operation includes a routing engine, first and second vehicles, and a grid comprising a plurality of grid cells, each grid cell having a grid cell length X. First size vehicle has a first vehicle length greater than the grid cell length X and second size vehicle has a second vehicle length greater than the first vehicle length. The system is configured to: receive article information of first and second articles; assign the first article to be transported by the first size vehicle, and the second article to be transported by the second size vehicle; determine a first route for the first size vehicle such that the first route has a first width equaling A*X, and a second route for the second size vehicle such that the second route has a second width equaling B*X.

The present disclosure relates to a method for controlling an autonomous robotic tool using a modular autonomy control unit. The control unit includes an interface with the autonomous robotic tool and comprises a processor, configured to control the autonomous robotic tool during operation. The modular autonomy control unit transfers a set of test instructions to the autonomous robotic tool, triggering the latter to carry out a set of test actions in response to the test instructions—The modular autonomy control unit detects sensor input in response to the test actions, and computes a corresponding error vector, based on which calibration data is updated. Then, the modular autonomy control unit controls the robotic tool based on the calibration data. This allows a general control unit to be used in connections with several types of robotic work tools.

An apparatus of assisting lane following by considering a time delay for a front wheel steering angle, in association with parking, and a method for the same are provided. The apparatus obtains surrounding information of a vehicle, determines a target route, based on the obtained surrounding information and a target front wheel steering angle based on the target route, determines a target handle steering angle depending on the target route, based on the target front wheel steering angle, while considering a time delay of a steering system of the vehicle, and performs a lane following assist control operation to follow the target route, based on the target handle steering angle.