Abstract: A robotic lawnmower system comprising a charging station (210) and a robotic lawnmower (100), the charging station comprising a signal generator (240) to which a navigation signal cable (260; 250) is to be connected, the signal generator (240) being configured to transmit a signal (265; 245) through the navigation signal cable (260; 250), and the robotic lawnmower (100) comprising: a propulsion system (130, 50); a sensor (170) configured to sense field values of magnetic fields generated by the signal (265; 245) in the navigation signal cable (260; 250); and a controller (110) configured to determine that the robotic lawnmower (100) is in a docking position; record the field value(s) of the sensed signal; control the propulsion system (130, 150) to reverse out of said docking position; and to control the propulsion system (130,150) to enter into said docking position by sensing a current field value; comparing the current field value to the stored field value(s); and determining how to navigate the robotic la

Abstract: A working machine control device includes a camera that obtains a captured image by imaging a particular part that is a part of a lower travelling body, and a controller, in which the controller includes a setting unit that sets a target slewing angle of an upper slewing body with respect to the lower travelling body, and a display control unit that causes a display unit to display a display screen in which a target image indicating a target position of the particular part is displayed in a superimposed manner at a position on the captured image, the position being where the particular part is displayed when a slewing angle of the upper slewing body with respect to the lower travelling body reaches the target slewing angle.

Abstract: A method for automated assignment of a staging pad to an unmanned aerial vehicle (UAV) includes: launching the UAV from a launch location; tracking a drift of the UAV from the launch location; determining a subsequent position of the UAV after the launching based upon geofiducial navigation; calculating an estimated position of the launch location by offsetting the subsequent position by the drift; attempting to match the estimated position to an available staging pad of a plurality of staging pads; and assigning the UAV to the available staging pad when the estimated position successfully matches to the available staging pad.

Abstract: An autonomous, mobile robotic device (AMR) is configured with one or more UVC radiation sources, and operates to traverse a path while disinfecting an interior space. Each UVC radiation source is connected to the AMR by an articulating arm that is controlled to orient each source towards a feature or surface that is selected for disinfection during the time that the AMR is moving through the space. The location of each feature selected for disinfection can be mapped, and this map information, a current AMR location and pose can be used to generate signals that are used to control the articulating arm to orient each UVC lamp towards a feature that is selected for disinfection.

Abstract: A risk of theft is reduced in transportation by an autonomous mobile body. A route determination system according to the present disclosure determines a transport route of an article to be transported by an autonomous mobile body. The route determination system according to the present disclosure includes a judgement unit that judges whether or not an area including a position of a person is dangerous based on position information of the person and a credit rank of the person and a route determination unit that determines, as the transport route, a bypass route for bypassing a dangerous area when a candidate of the transport route passes through the dangerous area judged to be dangerous by the judgement unit.

Abstract: A method for selecting parking location for an autonomous driving vehicle is provided. The method comprises steps of: obtaining a request of a user; constructing a first map according to a current location of the user, a first parking location, and a high-precision map; obtaining a second parking location selected by the user on the first map; controlling the autonomous driving vehicle to drive to the second parking location, and calculating distance between a current location of the autonomous driving vehicle and the second parking location; when the distance is less than a preset distance, constructing a second map according to the current location of the autonomous driving vehicle, the second parking location, and the high-precision map; controlling the autonomous driving vehicle to drive to the second parking location selected by the user on the second map. Furthermore, an intelligent control device and an autonomous driving vehicle are also provided.

Abstract: A method of area coverage planning for an autonomous vehicle includes, at a computer system, receiving information of a boundary of a work area, and laying a plurality of tracks within the boundary of the work area. The plurality of tracks is spaced apart from each other by a spacing. Laying the plurality of tracks includes, based on the information of the boundary of the work area, performing a multivariate optimization to: (i) determine an optimal direction of the plurality of tracks, and (ii) an optimal offset for a first track from the boundary, so as to minimize a total distance of the plurality of tracks. The method further includes generating a trajectory that is traversable by the autonomous vehicle to traverse the plurality of tracks.

Abstract: A method of controlling driving of a first automated guided vehicle and a second automated guided vehicle includes: determining a first task exchange condition based on a current position of the second automated guided vehicle, a current position of the first automated guided vehicle, a first task position, and a second task position; determining a second task exchange condition based on a first estimation time taken for the first automated guided vehicle to complete a first task and a second estimation time taken for the second automated guided vehicle to move to the first task position; and when the first task exchange condition and the second task exchange condition are satisfied, exchanging the first task with the second task.

Abstract: Computer systems and methods for updating and/or supplementing a digital road map through crowdsourcing, based on the generalization of geolocation systems that are integrated in the majority of modern road vehicles. The signals collected by these geolocation systems are used to update and/or supplement a digital road map through crowdsourcing.

Abstract: Aspects of the disclosure provide a method of identifying off-road entry lane waypoints. For instance, a polygon representative of a driveway or parking area may be identified from map information. A nearest lane may be identified based on the polygon. A plurality of lane waypoints may be identified. Each of the lane waypoints may correspond to a location within at least one lane. The polygon and the plurality of lane waypoints may be input into a model. A lane waypoint of the plurality of lane waypoints may be selected as an off-road entry lane waypoint. The off-road entry lane waypoint may be associated with the nearest lane. The association may be provided to an autonomous vehicle in order to allow the autonomous vehicle to use the association to control the autonomous vehicle in an autonomous driving mode.

Abstract: Example systems, methods, and apparatus to optimize autonomous vehicle workflows are disclosed. An example apparatus includes at least one memory; instructions; and a processor to execute the instructions to determine an expected arrival time for an autonomous vehicle at a first location, the autonomous vehicle to deliver a first product to the first location in response to a first task assigned to the autonomous vehicle, the first product associated with a first order; perform a comparison between the expected arrival time for the autonomous vehicle and an expected arrival time associated with a second task; select a third task to be performed by the autonomous vehicle based on the comparison, the third task selected for having the autonomous vehicle arrive at the first location after performance of the third task within a threshold time of the expected arrival time; and instruct the autonomous vehicle to perform the third task.