Abstract: A system for servicing a data center using an autonomous vehicle (AV) is provided. The system comprises the AV and the AV is configured to: receive a task to perform within the data center, wherein the data center comprises a plurality of servers associated with a plurality of enterprise organizations; navigate from an initial location within the data center to a new location within the data center along a path extending through a portion of the data center, the path being determined automatically; and while navigating the path and in response to encountering a movable barrier disposed along the path, performing a procedure to bypass the movable barrier such that the AV can continue navigating along the path.

Abstract: A terrain-referenced navigation system for an aircraft comprises: a stored digital terrain map; a position calculation unit arranged to calculate aircraft position relative to the stored digital terrain map to determine a terrain-referenced aircraft position; a fall line calculation unit arranged to calculate a fall line for a projectile starting from the terrain-referenced aircraft position as a launch point; and an impact point calculation unit arranged to directly compare the fall line with the digital terrain map, by incrementally comparing a height of the projectile along the fall line with a height of the terrain according to the stored digital terrain map in order to find an expected impact point on the terrain.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to select a scanning rate for a first sensor of a vehicle based on at least one of data related to a current time or data related to a location of the vehicle; instruct the first sensor to run at the selected scanning rate; in response to receiving data from the first sensor indicating a newly present object, turn on a second sensor; and then record data from the second sensor. The second sensor has a higher power draw than the first sensor.

Abstract: A system and method are provided for assisting transport vehicle drivers in material discharge for optimized working at a worksite by work machines such as dozers. A first user interface associated with the work machine accesses a map comprising three-dimensional data corresponding to at least a portion of the worksite. User input is received via the first user interface corresponding to desired discharge location(s) in the worksite to be worked, and output signals are generated for modifying a display on a second user interface associated with the transport vehicle, said modifications corresponding to the received user input and for directing the transport vehicle to the desired discharge locations. The two vehicles may share a common mapping unit such that input from the work machine is applied substantially in real-time at the transport vehicle. Alternatively, the inputs may be translated across mapping units to generate appropriate positioning instructions.

Abstract: A method of controlling an EOP of a powertrain may include determining, by a controller electrically connected to the EOP, whether an oil sloshing phenomenon in which it is difficult for oil to return to a space where an oil intake port of the EOP is positioned may occur while a vehicle is running; and reducing, by the controller, the revolutions per minute (RPM) of the EOP by a predetermined reduced RPM when it is determined that the oil sloshing phenomenon may occur.

Abstract: A method for operating a materials handling vehicle is provided and comprises: monitoring, by a controller, a first vehicle drive parameter during a manual operation of the vehicle by an operator; storing, by the controller, data related to the monitored first vehicle drive parameter. The controller is configured to use the stored data for implementing a semi-automated driving operation of the vehicle subsequent to the manual operation of the vehicle. The method further comprises: detecting, by the controller, operation of the vehicle indicative of a start of a pick operation occurring during the manual operation of the vehicle; and based on detecting the start of the pick operation, resetting, by the controller, the stored data related to the monitored first vehicle drive parameter.

Abstract: The present disclosure relates to a moving robot system and a method for generating boundary information of the moving robot system that generates boundary information based on actual installation positions of a plurality of transmission devices when the plurality of transmission devices is installed based on map data provided from a web server.

Abstract: Mobile devices, control systems and programs are disclosed. In one example, a mobile device performs different processing when an approaching object is a human. The mobile device includes a control unit that performs traveling control. It receives input detection information of a sensor on the mobile device and uses that to determine whether an approaching object is a human. In the case where the control unit determines that the object is a human, the mobile device stops after setting an article mounted in the mobile device in a direction of being visible to the human. In the case where the control unit determines that the object is not a human, the control unit stops or backs the mobile device or changes a traveling direction of the mobile device so as to avoid collision with the object.

Abstract: A traction control system for a trailing vehicle includes an electric machine, a ground engaging apparatus in contact with a ground surface, a speed sensor measuring the speed of the ground engaging apparatus, and a controller providing a traction control signal to the electric machine. The controller is in communication with a force increase control. The controller provides a temporary increase in tractive force of the electric machine when the force increase control is activated either manually or automatically. The amount of temporary increase in the tractive force can be variable and adjustable.

Abstract: A control apparatus is for controlling notification data presented to an occupant of a movable object having an automated driving function, including an outside world information obtaining unit for obtaining outside world information of the movable object, a failure detection unit for detecting a failure of the movable object, a setting unit for setting a point associated with the failure based on the outside world information, and setting a scheduled time instant at which the point is reached, and a notification plan generation unit for generating a notification plan for setting an order for presenting predetermined notification data to the occupant according to the point and the scheduled time instant, wherein the notification plan generation unit is for estimating an information intensity of the notification data, and deciding an order for presenting detection information of the failure and the notification data in a predetermined period according to the information intensity.

Abstract: A control method for controlling gear-shifting and lock-up of an engine clutch in a hybrid vehicle includes: detecting a kickdown shift by a driver while the hybrid vehicle is driving in an electric vehicle mode; starting gear-shifting when the kickdown shift is detected; controlling a difference between an engine speed and a motor speed to be equal to or less than a first reference value; synchronizing the engine speed and the motor speed through an engine speed control; performing torque blending by locking up the engine clutch when the synchronization is completed; and ending the gear-shifting when a target required torque is reached through the torque blending.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to instruct a first sensor to run at a scanning rate; in response to a trigger event, reduce the scanning rate; in response to receiving data from the first sensor indicating a newly present object, turn on a second sensor; and then record data from the second sensor. The second sensor has a higher power draw than the first sensor.

Abstract: Examples of the disclosure are directed to dynamic selection of a specific location at a destination for delivery or transfer of an item. A connected speaker can communicate with an autonomous carrier using an audio signal. The audio signal can contain identifying information associated with the specific location. The autonomous carrier can complete delivery of the item at the specific location.

Abstract: In one embodiment, control of an autonomous driving vehicle (ADV) includes determining a current scenario of the ADV. Based on the scenario, a control algorithm is selected among a plurality of distinct control algorithms as the active control algorithm. One or more control commands are generated using the active control algorithm, based one or more target inputs. The control commands are applied to effect movement of the ADV.

Abstract: A processing system of an autonomous aerial vehicle including at least one processor may obtain mapping data describing at least a portion of a facility, navigate, via the mapping data, to a space within the facility to perform an assigned task, and collect spatial sensor data within the space. The processing system may then detect, from the spatial sensor data, at least one object within the space, define a reserved zone within the space to perform the assigned task, based upon the at least one object that is detected, and present at least one of an audible announcement or a visual announcement of the reserved zone.

Abstract: A scalable solution to robot behavioral navigation following natural language instructions is presented. An example of the solution includes: receiving, by a pre-trained sequential prediction model, a navigation graph of the task environment, instructions in natural language and an initial location of the robot in the navigation graph, wherein the navigation graph comprises nodes indicating locations in the task environment, coordinates of the nodes, and edges indicating connectivity between the locations; and predicting sequentially, by the pre-trained sequential prediction model, a sequence of single-step behaviors executable by the robot to navigate the robot from the initial location to a destination.

Abstract: An aircrew automation system that provides a pilot with high-fidelity knowledge of the aircraft's physical state, and notifies that pilot of any deviations in expected state based on predictive models. The aircrew automation may be provided as a non-invasive ride-along aircrew automation system that perceives the state of the aircraft through visual techniques, derives the aircraft state vector and other aircraft information, and communicates any deviations from expected aircraft state to the pilot.

Abstract: In one aspect, a system for automatically assigning vehicle identifiers for autonomous vehicles can include a registry server computing system configured to perform operations. The operations can include receiving, at the registry server computing system and from a vehicle computing system onboard an autonomous vehicle, data describing the autonomous vehicle and generating, at the registry server computing system, a vehicle identifier for the autonomous vehicle based on the data describing the autonomous vehicle. The vehicle identifier can be different than and distinct from the data describing the autonomous vehicle. The operations can include associating, at the registry server computing system, the data describing the autonomous vehicle with the vehicle identifier for the autonomous vehicle in a vehicle registry. The vehicle registry can include respective vehicle identifiers associated with a plurality of autonomous vehicles.

Abstract: A remote driving service processing device includes a general user terminal by which a remote driving service is requested for moving a vehicle to a destination, a remote operation terminal by which the vehicle is remotely operated, and a server that, if the vehicle does not satisfy a requirement for ending the remote driving service when the vehicle arrives at the destination, sends an and permission request to end the remote driving service, which is received from the remote operation terminal, to the general user terminal, and, when receiving a consent to end the remote driving service from the general user terminal as a response to the end permission request, sends the consent to end to the remote operation terminal and ends the remote driving service.

Abstract: A method for use in traversing a vehicle transportation network by an autonomous vehicle (AV) includes traversing, by the AV, the vehicle transportation network. Traversing the vehicle transportation network includes identifying a distinct vehicle operational scenario; instantiating a first decision component instance; receiving a first set of candidate vehicle control actions from the first decision component instance; selecting an action; and controlling the AV to traverse a portion of the vehicle transportation network based on the action. The first decision component instance is an instance of a first decision component modeling the distinct vehicle operational scenario.