A remote assistance device includes a prediction unit that predicts an assistance provision probability that assistance for a vehicle will be necessary and a priority of the necessary assistance, which are associated with assistance contents of point information, based on a travel route including assistance points and the location information on the assistance points, and a reservation unit that determines whether a reservation for assistance by an operator is necessary based on the assistance provision probability and the priority, and sets, if the reservation is necessary, a reservation for assistance for not assigning an assistance task to the operator even when a low-priority assistance request is newly made while the reservation is held.

A system and a method are disclosed that identifies a source area within a facility comprising a plurality of objects, and determines a destination area within the facility to which the plurality of objects are to be transported and unloaded. The system selects robots within the facility based a capability of the robots and/or a location of the robots within the facility. The system provides an instruction to the robots to transport the plurality of objects from the source area to the destination area. The robots are configured to autonomously select an object based on a position and location of the object within the source area, transport the selected object to a destination area along a route selected by the robot, and unload the selected object at a location within the destination area selected based on a number of objects yet to be unloaded within the destination area.

A system of determining a flight path for an aerial vehicle, includes a memory storing a program code, and a processor configured to execute the program code to identify, during a flight, an abnormal state occurring at a first location, in response to the abnormal state, control the aerial vehicle to fly along a first flight path from the first location to a first destination, after the aerial vehicle arrives at the first destination, evaluate a status of the aerial vehicle at the first destination to obtain an evaluation result, and based on the evaluation result, determine a second flight path of the aerial vehicle to a second destination. The first flight path is a reverse of a last flight path of the aerial vehicle before the aerial vehicle reaches the first location.

An information processing apparatus includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute instructions to receive request information including qualification information regarding an operation qualification for operating a mobile body and plan information regarding an operation plan for operating the mobile body, acquire attribute information of the qualification information, determine whether or not to accept a request associated with the request information based on the attribute information, and output a result of the determination regarding the request as a response to the request.

An information processing apparatus includes at least one memory storing instructions, and at least one processor. The at least one processor is configured to execute instructions to receive request information including qualification information regarding an operation qualification for operating a mobile body and plan information regarding an operation plan for operating the mobile body, acquire attribute information of the qualification information, determine whether or not to accept a request associated with the request information based on the attribute information, and output a result of the determination regarding the request as a response to the request.

A terminal apparatus includes a camera, a display that displays a display screen including a mobile robot that autonomously travels, and a control circuit. The control circuit acquires a first planned route of the mobile robot, displays, on the display, a screen having the first planned route superimposed on a camera image taken by the camera, detects a contact point on the display on which the screen is displayed, generates a second planned route of the mobile robot that travels through the contact point, and transmits the second planned route to the mobile robot.

An autonomous running vehicle transmits a camera image around the vehicle photographed by a camera to a remote monitoring center. An obstacle is detected on the basis of information obtained from autonomous sensors including the camera. When an obstacle is detected, the autonomous running vehicle is automatically stopped. The remote monitoring center determines, when the autonomous running vehicle automatically stops, whether or not the run of the autonomous running vehicle is permitted to restart on the basis of the received camera video. When it is determined that the autonomous running vehicle can be restarted, a departure signal is transmitted to the autonomous running vehicle. When the departure signal is received from the remote monitoring center, the autonomous running vehicle restarts running.

A configuration is described that is capable of determining a target landing position of a drone according to a sentence indicating a landing position generated by a user. Aspects including identifying an object type of an object contained in a captured image of a camera mounted on a mobile body; sentence analysis processing analyzes a sentence indicating a designated arrival position; word-corresponding subject selection processing collates results of the sentence analysis processing with the object identification processing and selecting a subject corresponding to a word included in the sentence indicating the designated arrival position from the captured image; and target arrival position determination processing extracts an area corresponding to the designated arrival position indicated by the sentence indicating the designated arrival position from the captured image on the basis of a result of word-corresponding subject selection processing, and area determination is made as target arrival position of mobile body.

A configuration is described that is capable of determining a target landing position of a drone according to a sentence indicating a landing position generated by a user. Aspects including identifying an object type of an object contained in a captured image of a camera mounted on a mobile body; sentence analysis processing analyzes a sentence indicating a designated arrival position; word-corresponding subject selection processing collates results of the sentence analysis processing with the object identification processing and selecting a subject corresponding to a word included in the sentence indicating the designated arrival position from the captured image; and target arrival position determination processing extracts an area corresponding to the designated arrival position indicated by the sentence indicating the designated arrival position from the captured image on the basis of a result of word-corresponding subject selection processing, and area determination is made as target arrival position of mobile body.

A method of determining a flight path for an aerial vehicle includes identifying during flight a change in a state of signal transmission occurring at a first location, and, in response to identifying the change, selecting a first destination within a proximity of a second location. A state of signal transmission at the second location during a previous flight is different from a state of signal transmission at the first location. The method further includes determining a first flight path to reach the first destination. The first flight path comprises accessible locations detected by one or more sensors onboard one or more aerial vehicles. The method also includes, upon reaching the first destination by the aerial vehicle, assessing in real time a state of signal transmission at the first destination, and determining a second flight path to a second destination based on the assessment.