Abstract: Aspects concern a method for identifying a list of nearest vehicles including receiving a ride request comprising a request position; obtaining vehicle information of a plurality of vehicles, wherein the vehicle information comprises a vehicle position; translating the vehicle position information of each of the plurality of vehicles to positions on an edge based graph, wherein the edge based graph represents a road system; and determining a driving distance between at least one of the vehicle positions of the plurality of vehicles and the request position, wherein the driving distance comprises a distance the at least one vehicle travels along the road system to reach the request position.

Abstract: A self-powered vehicle comprises a mechanical drive system, a set of sensors, and a controller coupled to the mechanical drive system to move the vehicle. The self-powered vehicle can operate in a plurality of modes, including a training mode and a smart behavior mode. In the training mode, the vehicle follows a trajectory of a user, and stores the trajectory in memory. In the smart behavior mode the vehicle autonomously traverses the stored trajectory.

Abstract: A computer-implemented method of controlling Autonomous Vehicles for delivering a payload to an intended delivery location comprising: identifying a first AV for retrieving a payload from a first location; determining a second location to which the first AV is capable of travelling with the payload from the first location; instructing the first AV to retrieve the payload from the first location and to deliver the payload to the second location; communicating a wireless communication requesting assistance from another AV to deliver the payload from the second location, wherein the wireless communication is in the form of a system information message; in response to the wireless communication, identifying a second AV for retrieving the payload from the second location; and instructing the second AV to retrieve the payload from the second location and to deliver the payload to the intended delivery location.

Abstract: The disclosed embodiments are directed to adjusting the operational characteristics of a black box installed in a vehicle. In one embodiment a method is disclosed comprising classifying a mental state of a driver of an automobile, loading at least one setting based on the mental state, the setting defining an operational characteristic of a black box installed in the automobile, configuring the black box using the at least one setting, and recording one or more events by the black box.

Abstract: Methods, systems, and non-transitory machine-readable media encoding instructions for managing a fleet of autonomous mobile robots in a facility. In one aspect, a computer-implemented system for managing a fleet of autonomous mobile robots in a facility can include a log of characteristics of cycle times of communications between the system and the autonomous mobile robots in the fleet over time, and an analysis component configured to determine, based on the logged characteristics of the cycle times, i) a location in a facility at which or ii) a time of day during which or iii) equipment used in communications between the system and the autonomous mobile robots in the plurality that are either inadequate or deficient. Each communications cycle includes wireless transmission of test signals to a plurality of the autonomous mobile robots in the fleet and receipt of responses to the test signals transmitted wirelessly from each of the autonomous mobile robots in the plurality.

Abstract: A method for operating a hybrid vehicle that operates in charge depletion and charge sustaining modes is described. In one example, fractions of driver demand power that are generated via an internal combustion engine and an electric machine are adjusted in response to a rate of change in electric machine temperature and/or predicted electric machine temperature.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Provided are methods for methods and systems for measuring sensor visibility, which can include obtaining sensor data associated with an autonomous vehicle and determining a blockage parameter indicative of a blockage of a sensor based on a comparison of the sensor data with secondary data. Some methods described also include controlling an operation of an autonomous vehicle based on the blockage parameter. Systems and computer program products are also provided.

Abstract: An example operation includes one or more of receiving information at a vehicle in proximity to a first node from the first node, sending information from the vehicle to the first node, analyzing the sent information by the first node, determining by the first node that the vehicle will be in proximity to an adjacent node to the first node, after the vehicle is no longer in proximity to the first node, receiving the analyzed information from the first node at the adjacent node, constructing information related to the received analyzed information at the adjacent node, and sending the constructed information to the vehicle from the adjacent node.

Abstract: An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.

Abstract: An industrial vehicle includes an industrial vehicle including an object detector, a switching member configured to perform switching between a first travel mode in which the industrial vehicle travels in a direction toward a detection range of the object detector and a second travel mode in which the industrial vehicle does not travel in the direction toward the detection range of the object detector, and a controller configured to perform an object avoidance control according to a detection result of the object detector. The controller performs the object avoidance control according to the detection result of the object detector when the first travel mode is set. The controller performs a control so as to maintain the object avoidance control when the first travel mode is switched to the second travel mode while the industrial vehicle is travelling in the first travel mode.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A method for configuring a controller for a wheel-legged robot includes: controlling motion of the robot, and obtaining motion state data and control data of the robot during a motion process, where diversity measures of the motion state data and the control data are higher than a predetermined threshold; calculating a linear equilibrium parameter matrix by using a data iteration method according to the motion state data and the control data; and configuring a controller corresponding to dynamic characteristics of the robot based on the linear equilibrium parameter matrix.

Abstract: To provide an information processing method, an information processing apparatus, and an information processing system that enable a flight vehicle to easily perform circular turning. The information processing method of the present disclosure causes a computer to generate, on the basis of first information instructing a velocity of a moving body and second information instructing an angular velocity of the moving body, and with a direction of the velocity as a tangential direction, an acceleration in a center direction of a circle having a radius corresponding to the velocity and the angular velocity.

Abstract: A computer-implemented method for preventing loss of function in a local instance when there is a disturbance of a connection to a backend in a communication system that has a local instance having a local agent and a backend acting in part as a global agent, an agent designating a unit that is designed to achieve defined goals through autonomous behavior. The method includes, when there is a connection to the backend, the providing of the function by the global agent, which receives backend information from the backend during the providing of the function, and, if a connection to the backend is disturbed, the providing of the function by the local agent.

Abstract: A locking control system and method include providing a base plate with an attachment interface and attaching at least one accessory to the base plate via the attachment interface. A user profile is provided that comprises one or more classes of authorization. Locking and unlocking of the at least one accessory to the base plate is controlled based on the user profile and/or locking and unlocking of the at least one accessory itself is controlled based on the user profile.

Abstract: An example operation includes one or more of determining data to be provided to a vehicle, determining data to be retrieved from the vehicle, determining a route for the vehicle based on an amount of time the data is provided to the vehicle and the data is retrieved from the vehicle, a speed of the vehicle, and a location of at least one computing node that is configured to provide and retrieve the data.

Abstract: Aspects concerning a robot system is provided comprising a ground vehicle, an aerial vehicle capable of flight, and a tether connecting the aerial vehicle to the ground vehicle, wherein the tether comprises on or more Bowden cables, each having an inner cable connected at one end to a respective motor of one or more motors of the ground vehicle and at another end to a component of the aerial vehicle, wherein the ground vehicle comprises a motor controller configured to control movement of the component of the aerial vehicle by controlling the one or more motors.

Abstract: A method for determining travel information of a vehicle on a predetermined route includes determining a usual travel time on the route and determining a current travel time on the route on the basis of a current traffic flow on the route. The method further includes determining a predicted travel time on the basis of a traffic flow on the route at the time at which the vehicle is expected to travel on said route. The method also includes providing a deviation of the predicted travel time from the usual travel time and providing a deviation of the predicted travel time from the current travel time.

Abstract: A control unit for controlling a driving function of a vehicle is designed to automatically guide the vehicle longitudinally and/or transversely. The control unit is designed to determine that the driver of the vehicle is presently activating or deactivating, and/or intends to activate or deactivate, the driving function. In response thereto, the control unit is additionally designed to cause a manual control intervention produced by the driver of the vehicle in the longitudinal and/or transversal guidance of the vehicle to be at least partly compensated for and/or suppressed prior to the point in time of the activation or deactivation of the driving function in order to adapt the drive behavior of the vehicle during the transition between the manual longitudinal and/or transversal guidance and the automatic longitudinal and/or transversal guidance.