Provided is a mobile object control device including a storage medium storing a computer-readable command and a processor connected to the storage medium, the processor executing the computer-readable command to: acquire a photographed image, which is obtained by photographing surroundings of a mobile object by a camera mounted on the mobile object, and an input instruction sentence, which is input by a user of the mobile object; detect a stop position of the mobile object corresponding to the input instruction sentence in the photographed image by inputting at least the photographed image and the input instruction sentence into a trained model including a pre-trained visual-language model, the trained model being trained so as to receive input of at least an image and an instruction sentence to output a stop position of the mobile object corresponding to the instruction sentence in the image; and cause the mobile object to travel to the stop position.

Thrust values for motors in an aircraft are generated where each flight controller in a plurality of flight controllers generates a thrust value for each motor in a plurality of motors using an optimization problem with a single solution. Each flight controller in the plurality of flight controllers passes one of the generated thrust values to a corresponding motor in the plurality of motors, where other generated thrust values for that flight controller terminate at that flight controller. The plurality of motors perform the passed thrust values.

An autonomous driving vehicle includes a vicinity sensor, an information presentation unit, an operation unit, a collection unit to previously collect an anxiety start position based on the experiment participant's operation on the operation unit along a route, and a control unit to control operation of the autonomous driving vehicle based on road information, vehicle information, vicinity detection information, and the anxiety start position. The control unit sets a presentation start position, as a position where the information presentation unit is made to start presenting anxiety reduction information, before the anxiety start position in the route of autonomous traveling with a user riding therein, and makes the information presentation unit start the presentation of the anxiety reduction information when the autonomous driving vehicle with the user riding therein reaches the presentation start position.

Provided are a mobility and a mobility system which enable a person who requires nursing care with a deteriorated bodily function or cognitive function to lead a life with greater independence. The drive and travel of the mobility by the travel drive unit are controlled by adjusting the current travel state of the mobility to an optimal travel state for ensuring safety while reflecting the user's intention based on the current operation instruction detected by the operation unit, the command signal generated by the voluntary control unit, the travel environment sensed by the environment sensing unit, and the respective types of environmental information acquired by the information acquisition unit.

Some embodiments relate to a manned vertical take-off and landing (VTOL) aerial vehicle (AV) and to methods relating to such VTOL AVs. An example vehicle comprises: a body comprising a cockpit; a propulsion system carried by the body to propel the body during flight; pilot-operable controls accessible from the cockpit; a sensing system configured to generate sensor data associated with a region around the manned VTOL AV; a control system configured to enable control of the manned VTOL AV to be shared between a pilot and an autonomous piloting system, wherein the control system may utilise the sensor data; and a three-dimensional model of the region; and program instructions to: determine a state estimate and a state estimate confidence metric; generate a three-dimensional point cloud of the region; generate a plurality of virtual particles within the three-dimensional model; compute a plurality of scores, each score being associated with one of the plurality of virtual particles; and update the state estimate based at least in part on the computed scores, thereby determining an updated state estimate.

Disclosed are methods, systems, and computer-readable medium for facilitating remote user airspace communication. For instance, the method may include: connecting with a user device associated with and remote from a first vehicle in a shared air traffic control sector; receiving voice communication data from at least one of the user device, a second vehicle in the shared air traffic control sector, and an air traffic control station in the shared air traffic control sector; generating analog data or digital data based on the received voice communication data; determining a recipient for the generated analog data or generated digital data in the shared air traffic control sector; transmitting the generated analog data or generated digital data to the recipient; and terminating the connection with the user device as the first vehicle leaves the shared air traffic control sector.

An electric mobility vehicle on which a user can be seated to ride. The electric mobility vehicle includes a mobility body having a front wheel, a rear wheel, and a seat for the user, a controller provided in the mobility body, and a lower side sensor capable of emitting a detection wave from under a footrest surface for the user seated on the seat or from under the mobility body, the lower side sensor being capable of detecting an object to be avoided located in a vehicle front direction of the electric mobility vehicle by using the detection wave.

The present invention is a battery-powered, remote-controllable rollator with embedded computer systems and computer vision system. The present invention recognizes the user's face by using artificial intelligence technology, namely, the deep convolutional neural networks, and uses that information to localize the rollator's position in relation to the user. An artificial intelligence algorithm computes the motion path and drives the present invention to the user. The present invention can automatically stop once approached to a preset stopping distance from the user. Once stationary, the present invention can then be used by the user.

Embodiments of the disclosure provide for handover or roaming of unmanned vehicles and missions between ground control stations (GCSs) of the same or different ground control centers (GCCs). Some embodiments receive a control change indication indicative of reassignment of a vehicle associated with a first GCS that is associated with a first GCC. Some embodiments reassign the vehicle from a first GCS to a second GCS associated with the GCC to enable the second GCS to newly access data corresponding to the vehicle via the master control system to enable control of the vehicle. Some embodiments reassign the vehicle from a first GCC to a second GCC by copying data corresponding to the vehicle from the master control system of the first GCC to a second master control system of a second GCC to enable control of the vehicle via at least one GCS of the second GCC.

A vehicle sensing unit to sense a plurality of convoy-management-target vehicles; an occupant state sensing unit to sense states of occupants riding the plurality of convoy-management-target vehicles sensed by the vehicle sensing unit; a convoy computing unit to compute a convoy of the plurality of convoy-management-target vehicles sensed by the vehicle sensing unit on the basis of a result of the sensing by the occupant state sensing unit; and a convoy control unit to control the convoy of the plurality of convoy-management-target vehicles sensed by the vehicle sensing unit on the basis of a result of the computation by the convoy computing unit are included.