A robotic vehicle management system for the control, optimization and distribution of robotic vehicles is presented in which vehicle operational data is recorded and used to model and optimize a vehicle's travel path. A process for receiving data from multiple vehicles is disclosed, wherein the recorded data is used in the optimization of control systems with regards to travel path, fuel savings, safety, and other considerations. The recorded data may be used to improve system operations or operations of individual vehicles. Methods and techniques are also provided for reading data from vehicle sensors, applying analysis techniques to this data, and uploading improved operational processes to one or more vehicles or to a fleet of vehicles. Adaptive controls, learning based controls, navigation system and other capabilities may be included for optimization and distribution by this discloses system and methods.

A lease management method of an electric power motion apparatus includes acquiring location information, an advancement direction and a battery state of the electric power motion apparatus; additionally adjusting the advancement direction of the electric power motion apparatus to face towards the lease station such that the electric power motion apparatus faces towards the lease station based on normal adjustment and control if the electric power motion apparatus is located outside a lease range of a lease station; and additionally controlling the electric power motion apparatus to decelerate, and additionally adjusting the advancement direction of the electric power motion apparatus to face towards the lease station such that the electric power motion apparatus advances towards the lease station based on normal adjustment and control if a remaining power amount of the electric power motion apparatus approaches a power amount for returning to the lease station.

A server station receives situation information and vehicle information respectively from three vehicles. The server station calculates how to pass by an on-coming vehicle for each of the three vehicles, and sends to each of the three vehicles a wait instruction of where to wait for and pass by the on-coming vehicle or a notification instruction of the on-coming vehicle when there is no place to wait. For example, the server station sends, to a first vehicle, the notification instruction due to having no place to wait, sends, to a second vehicle, a wait instruction to wait at a current position, which is a pass-by place, until the on-coming vehicle passes, and sends, to a third vehicle, a wait instruction to wait in a pass-by place, which is available to the third vehicle.

A computer for a roadside infrastructure element includes a processor and a memory. The memory stores instructions executable by the processor to receive communications from a plurality of vehicles; receive sensor data about an area that includes the roadside infrastructure element; based on the sensor data, determine whether the plurality of vehicles includes a priority vehicle or a spoofing vehicle; and specify to the plurality of vehicles a first action upon determining that the plurality of vehicles includes the priority vehicle, and a second action upon determining that the plurality of vehicles includes a spoofing vehicle.

A combine harvester that works in a farm field in cooperation with a combine harvester is a work vehicle capable of automatically traveling based on a travel path created in the farm field, and includes a portable terminal that functions as a work allocator that divides a work area of the farm field into a plurality of work blocks based on the combine harvesters and, and allocates any of the combine harvesters and, and a controller that functions as a self-driving controller that performs a work of the work blocks' work block allocated to combine harvester.

A system and method of selective input confirmation for automated loading by a work vehicle comprising a main frame and a work attachment movable with respect to the main frame for loading/unloading material in a loading area external to the work vehicle during a loading process having loading stages. Location inputs are detected for the loading area respective to the main frame and/or work attachment. First user inputs correspond to selected automation for respective loading stages, for which detection routines are executed with respect to parameters of the loading area based on the detected location inputs. If second user inputs are determined to be required with respect to certain parameters of the loading area, the second user inputs are received and movement of the main frame and/or work attachment are controlled for automating the corresponding loading stages based at least in part thereon.

The present disclosure addresses the problem of UAVs pursuing a swarm of target UAVs. The target UAVs are flying together as a flock that are initially modeled as a circle having a time-varying radius or an arbitrarily-shaped swarm that may change in size. Guidance of the pursuing UAVs is developed based on a collision cone framework, wherein the pursuing UAVs cooperatively steer the velocity vector of any point in their convex hull, to intercept the target. Also, the problem of capturing a swarm of intruder UAVs using a net manipulated by a team of defense UAVs is disclosed. The intruder UAV swarm may be stationary, in motion, and even maneuver. Collision cones in 3-dimensional space are used to determine the strategy used by the net carrying UAVs to maneuver or manipulate the net in space in order to capture the intruders.

Apparatus and methods for controlling a path of an autonomous mobile device based upon defining a series of origination positions and destination positions, each destination position correlating with position coordinates. A current position of an autonomous vehicle is determined via location automation such as real time communication systems and an approved pathway is generated to guide the autonomous vehicle. The position coordinates may be a set of values that accurately define a position in two dimensional 2D or three-dimensional (3D) space. Position coordinates may include cartesian coordinates.

A location processing device includes a selection member configured to select multiple flight vehicles to form a flight group. The location processing device also includes a determination member configured to determine first relative location information of the multiple flight vehicles of the flight group while instructing an operation device configured to control the multiple flight vehicles to perform operations.

The present invention provides an operating method and an operating system of a multiple underwater vehicles 30, wherein exploration missions and exploration depths of the multiple underwater vehicles 30 are differently set in the underwater vehicles 30 for exploring a water bottom, the multiple underwater vehicles 30 are submerged to the respective set exploration depths, the multiple underwater vehicles 30 are made to cruise at the respective set exploration depths to execute the exploration missions, and execution results of the exploration missions are recorded and/or transmitted. According to this, it is possible to deploy and operate the multiple underwater vehicles and safely and efficiently explore the water bottom.