A computer-implemented traffic planning method controls a plurality of vehicles which are movable among multiple shared resources. The method includes receiving a transport mission; generating a root node representing an initial resource occupancy of the vehicles; generating a search tree from the root node, in which each edge represents a motion command and each node represents a resource occupancy, wherein each node is associated with a score related to the vehicles' fulfilment of the transport mission; identifying a target node with an acceptable score; and deriving a planned sequence of motion commands corresponding to a path to the target node. The score of a node includes a short-term component, which represents a cost of executing all motion commands from the root node to said node, and a long-term component, which is determined by the resource occupancy that the node represents.

A traffic control system for mining trucks and a method for same. The traffic control system (100) comprises a map management server (110), configured to draw a mine road into a mine map; a path planning server (120), configured to plan a road node route on the basis of the mine map, and plan a transition route when a mining truck (140) switches lanes during a truck passing process; and a traffic control server (130), configured to store lane states of a plurality of lanes in the mine map, arbitrate a driving permission request of a mining truck (140) on the basis of the lane state of a lane into which the mining truck (140) is about to drive, approve the driving permission request of a mining truck (140) that meets a driving condition, and dynamically update the lane state according to the arbitration result, the lane states comprising an occupied state and an idle state. The traffic control system (100) and the method for same improve the efficiency off truck passing by the mining truck (140) on mine roads.

A local server includes a controller configured to select a processing function for processing offload, and receive, from a traffic filter, target data that originates from a local network; and a processing platform comprising one or more processors and configured to apply the processing function to the target data to obtain processed data; and wherein the controller is further configured to send the processed data to a remote server for remote processing.

A method of planning trajectories for vehicles operating in a common environment, wherein movements of each vehicle are controllable by a control signal is provided the method includes for each vehicle, obtaining a predefined vehicle path to be traversed; performing a first computation to obtain a vehicle crossing order at each mutually exclusiveMUTEXzone between two vehicle paths, wherein the first computation is subject to safety constraints; and performing trajectory planning subject to the obtained vehicle crossing order at the MUTEX zones, to obtain a control signal for each of the vehicles. The method further includes assigning a dependency metric to each pair of vehicles, and partitioning the vehicles into a number N.sub.SG of vehicle subsets such that the dependency metric exceeds a threshold within each, wherein the trajectory planning is performed as multiple independent subproblems, each relating to one of the vehicle subsets.

A system and method is disclosed for configuring a group of mobile field devices using a configuration device (an HMI) is provided. In particular, the HMI is programmed to configure identically programmed field devices that are arbitrarily arranged in an application-dependent formation by defining and providing configuration parameters to the devices via wired and/or wireless communication. In particular, the HMI assigns a unique identifier to respective robots as a function of the position of the robot within the formation or the layout of the environment. Accordingly each robot can be efficiently configured by the HMI to operate independently yet as a coordinated member of the group and without requiring the robots to be placed in specific positions during the initial deployment. This obviates the need for constant independent control commands for each robot by a central controller or providing a customized control program to each robot during deployment.

A method and a transport system transports unit loads from a source position to a target region by autonomous guided vehicles. In this process, a unit load is transported in accordance with a transport order from a source position to a waiting location by a guided vehicle, which waiting location is assigned to the target region in accordance with the order. If the target region is free from another guided vehicle, the unit load is deposited at one of the storage locations of the target region. Here, an assignment of a unit load to a vacant storage location is derived from the arrival of the autonomous guided vehicles in the target region.

A transport system includes: a plurality of autonomously movable first moving bodies; and one or more second moving bodies configured to transport the plurality of first moving bodies as a first assembly in which relative positions of the plurality of first moving bodies with respect to each other are identified.

The present disclosure relates to the technical field of an unmanned aerial vehicle remote take-off and landing method and system, and a terminal. A first route task instruction is sent to a first nest, where the first route task instruction is configured to control the first unmanned aerial vehicle to execute a first route task in a direction of a second nest. Distance information between the first unmanned aerial vehicle and the second nest is obtained in real time, and a vehicle moving instruction is sent to the second nest when the distance information is less than a preset distance, where the vehicle moving instruction is configured to controlling a second unmanned aerial vehicle corresponding to the second nest to leave the second nest. A landing instruction is sent to the first unmanned aerial vehicle, to control the first unmanned aerial vehicle to land in the second nest.

A system for loading and transporting parcels includes: a sorter including a plurality of chutes for offloading parcels from the sorter; a plurality of totes; a plurality of self-driving vehicles (SDVs) configured to transport the plurality of totes between a loading area, an unloading area, and a queue area; and a control subsystem. The loading area includes a plurality of zones, with each zone corresponding to one or more chutes of the sorter. The control subsystem includes a controller, which is operably connected to the SDVs, and which selectively communicates instructions to dispatch SDVs to transport and replace totes in the loading area as they become filled to the predetermined capacity. A method for loading and transporting parcels in a sorting facility including a loading area, an unloading area, and a queue area is also disclosed.

A system and a method for displaying a light show is disclosed herein. The system comprises a plurality of Unmanned Aerial Vehicles (UAVs) having a screening medium reservoir attached thereto. A Ground Control Station (GCS) is communicatively coupled to the plurality of UAVs, wherein the communication between the GCS and the plurality of UAVs is bidirectional communication, and wherein the GCS is configured to control the plurality of UAVs in accordance with at least one flight program. A light controller is communicatively coupled to the GCS and configured to control at least one light source in accordance with the at least one flight program.