According to the present disclosure there is provided a system for providing input to a processor assembly from a remote device, the system comprising: a remote device configured to: process a user input; and provide a vehicle-agnostic information based on the user input to a processor assembly; and a processor assembly comprising: a first processor adapted to be provided at a first vehicle, the first processor configured to: receive the vehicle-agnostic information from the remote device; process an input related to the first vehicle based on the vehicle-agnostic information from the remote device; and a second processor adapted to be provided at a second vehicle, the second processor configured to: receive the vehicle-agnostic information from the remote device; process an input related to the second vehicle based on the vehicle-agnostic information from the remote device, such that the remote device is operable to provide information to the vehicle without processing the input based on the vehicle.

An architecture for autonomous school safety robots with behavior reinforcement is provided. The architecture can include a management server, a management portal and a number of robots for patrolling a school environment. The management portal provides an interface for an administrator to control the robots using prompts. These prompts can describe the type of behavior, object, event, occurrence, etc. that the robots should detect and can define how the robots should respond to a detection. The management portal also provides an interface for the administrator to review and respond to any reported detection.

A control method for a work vehicle is a control method for the work vehicle that performs work while self-traveling in a work site along a target route. This control method includes generating the target route, and designating a travel direction of the work vehicle at an end point of a circulating route when generating the circulating route on which the work vehicle travels to circulate around an outer peripheral region of the work site in the target route.

An unmanned aerial vehicle inspection route generating apparatus and method are provided. The apparatus generates a plurality of inspection points corresponding to a target object to be inspected, and each of the inspection points corresponds to a spatial coordinate. The apparatus calculates a plurality of flight segments based on a three-dimensional model corresponding to the target object to be inspected and the spatial coordinates corresponding to the inspection points, and each of the flight segments corresponds to two of the inspection points. The apparatus calculates a risk value corresponding to each of the flight segments. The apparatus generates an inspection route corresponding to the target object to be inspected based on the risk values and the flight segments.

Disclosed is a system for controlling a transition between a first area and a second area in an operating environment. The system includes a transition area separating the first area from the second area of the operating environment, a monitoring device with at least two opposing first sensor units and adapted to span in the transition area a substantially horizontally oriented monitoring field, at least one pair of entry fields extending in a depth direction from the monitoring, and a control unit adapted to communicate with vehicles moving in the operating environment.

A mobile apparatus includes circuitry to control the mobile apparatus to perform teaching travel and autonomous travel, generate; for each of nodes on a travel route independently for external sensors, calculation information for calculating a deviation between a node passed in the teaching travel and a point passed in the autonomous travel; store in the memory the calculation information in association with the node and the external sensor; calculate, for each node independently for the external sensors, the deviation based on the calculation information and a of the extern sensor value in the autonomous travel; determine, for each node independently for the external sensors, the calculated deviation as a position and posture of the node with reference to the position and posture of the mobile apparatus; integrate the positions and postures of the node determined independently for the external sensors; and control the mobile apparatus to autonomously travel.