Abstract: A robot can include a cart to receive one or more objects; a camera sensor to photograph a periphery of the robot and capture an image of a user of the robot; a handle assembly coupled to the cart; a moving part to move the robot; a force sensor to sense a force applied to the handle assembly; and a controller configured to generate physical characteristics information on physical characteristics of the user of the robot based on the image of the user, and adjust at least one of a moving direction of the robot, a moving speed of the moving part and a value of torque applied to a motor of the moving part, based on the physical characteristics information and a magnitude of the force applied to the handle assembly sensed by the force sensor.

Abstract: A method of automatically determining a flight trajectory of a vertical take-off and landing aircraft having vectorable propulsion can be used to improve flight efficiency. The method includes receiving one or more aircraft flight constraints, inputting the aircraft flight constraints to a trajectory planning algorithm to determine a minimum energy aircraft transition trajectory, and outputting a control schedule to fly the aircraft to along the flight trajectory.

Abstract: A method for estimating a position of a robot in a local area of a large space and a robot and a cloud server that implement such method are provided. The robot includes a local area classifier configured to identify a local area of a plurality of local areas of the space in which the robot moves and a plurality of position estimators configured to estimate the position of the robot in the local area.

Abstract: An apparatus for remote support of autonomous operation of a vehicle includes a processor that is configured to perform a method including receiving, from a vehicle traversing a driving route from a start point to an end point at a destination, an assistance request signal identifying an inability of the vehicle at the destination to reach the end point, generating a first map display including a representation of a geographical area and the vehicle within the geographical area, receiving, from the vehicle, sensor data from one or more sensing devices of the vehicle, generating a remote support interface including the first map display and the sensor data, and transmitting instruction data to the vehicle that includes an alternative end point at the destination responsive to an input signal provided to the remote support interface.

Abstract: A mobile vehicle includes one or more wheels, a sensor configured to detect the position of a follow target, and a controlling section configured to control the one or more wheels based on a detection result of the sensor such that the mobile vehicle follows the follow target. The controlling section is configured to determine a change point at which the traveling direction of the follow target has changed based on the detection result of the sensor, and to set a target point based on the change point.

Abstract: A system, a method, and a computer program product for determining a sign type of a road sign are disclosed herein. The system comprises a memory configured to store computer-executable instructions and one or more processors configured to execute the instructions to obtain sensor data associated with the road sign, wherein the sensor data comprises data associated with counts of road sign observations, determine one or more features associated with the road sign, based on the obtained sensor data, and determine the sign type of the road sign, based on the one or more features.

Abstract: An action recommendation system uses reinforcement learning that provides a next action recommendation to a traffic controller to give to a vehicle pilot such as an aircraft pilot. The action recommendation system uses data of past human actions to create a reinforcement learning model and then uses the reinforcement learning model with current ABS-B data to provide the next action recommendation to the traffic controller. The action recommendation system may use an anisotropic reward function and may also include an expanding state space module that uses a non-uniform granularity of the state space.

Abstract: A map information system includes: an in-vehicle device that executes driving support control based on map information; an external device having external map information used for the driving support control; and an update determination device. The in-vehicle device further executes external update processing that updates first map information being the map information of a first area by using first external map information being the external map information of the first area. The update determination device calculates a change degree being a difference between the first map information and the first external map information, for each point or each area in the first area. The external update processing is prohibited with respect to a section in which the change degree is equal to or less than a threshold. The external update processing is permitted with respect to a section in which the change degree exceeds the threshold.

Abstract: A vehicle control system that sets a preliminary destination or a preliminary destination area toward which a vehicle heads in an autonomously driven state; that causes the vehicle to travel in the autonomously driven state to the preliminary destination or the preliminary destination area set by the preliminary destination/area setting section; that acquires position information for the vehicle; and that switches a driving state of the vehicle from the autonomously driven state to a manually driven state or a remotely operated driven state when the vehicle has been detected to have arrived at the preliminary destination or in the preliminary destination area based on the position information.

Abstract: Permissible level information indicating the highest permissible level of driving assistance control for each of sections on a target route is stored in a storage device. In a first section of the target route, the highest permissible level is a first level. In a second section that follows the first section, the highest permissible level is a second level higher than the first level. In a third section that follows the second section, the highest permissible level is a third level different from the second level. In a case where the length of the second section or a passage time taken for a vehicle to pass through the second section is smaller than a threshold value, the processor performs a level maintenance process of maintaining the selection level in the second section at a level equal to the selection level in the first section.

Abstract: A mobile body configured so that multiple mobile robots can travel along the same track in formation even when an obstacle is present on the travel path of the mobile robots, and a method of controlling the mobile body. This mobile body (100) includes: a map storage (6) that stores travel path information; and an intelligence processor (10) that recognizes whether or not an object in the periphery is a mobile body to be followed (101). When the object is the mobile body to be followed (101) and the mobile body to be followed (101) does not exist on a travel path (16) indicated by the travel path information, the intelligence processor (10) sets a position on the travel path (16) in which the mobile body to be followed (101) is projected, as a temporary destination (17).

Abstract: Provided are a map building method, a navigation method, a device and a system. A detected obstacle is identified, and a type of the obstacle is determined according to an identification result from multiple obstacle types obtained through classification according to an obstacle characteristic; a map is built and the obstacle is marked, and the type of the obstacle is recorded. A newly added obstacle detected on a path is identified during navigation, and obstacle avoidance process is performed according to the type of the newly added obstacle.

Abstract: The present disclosure provides a positioning system, a positioning method, a shopping cart and an electronic equipment. The system includes an image acquisition device and a processing device. The image acquisition device is configured to acquire image information about a shopping cart, and the processing device is configured to process the image information so as to acquire identification information of the shopping cart, determine a location area of the shopping cart in an image according to the identification information, and determine location information of the shopping cart according to location information of the image acquisition device and the location area of the shopping cart in the image.

Abstract: Driving assist control has plural control modes associated with plural scenes on a one-to-one basis. A scene corresponding to driving environment for a vehicle is a subject scene, and a selected control mode is one associated with the subject scene. Plural pieces of scene description information respectively define the plural scenes. Selected scene description information is one defining the subject scene and indicates parameters used in the driving assist control of the selected control mode. A processor executes the driving assist control of the selected control mode based on the parameters indicated by the selected scene description information, and switches the selected control mode by switching the selected scene description information. When the subject scene changes, the processor notifies an occupant of the vehicle of switching of the selected control mode before switching the selected scene description information and the selected control mode.