A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.

A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.

An automated storage and retrieval system includes a storage grid for storage of storage containers and a delivery system for transport of said storage containers between a delivery port of the storage grid and an access point of the delivery system. The access point is adapted for handling of items held in the storage containers by a robotic operator or human operator. The delivery system includes a delivery rail system including at least a first set of parallel rails arranged in a horizontal plane (P1) and extending in a first direction (X), and at least a second set of parallel rails arranged in the horizontal plane (P1) and extending in a second direction (Y) which is orthogonal to the first direction (X), the first and second sets of rails together defining a delivery grid of delivery grid cells, the access point, and a remotely operated delivery vehicle comprising a motorized vehicle body and a container carrier provided above the motorized vehicle body for carrying a storage container of the storage containers. The delivery vehicle is moveable on the delivery grid of the delivery rail system. The delivery grid provides one or more delivery grid cells for the remotely operated delivery vehicle at the access point as well as a plurality of delivery grid cells adjacent the one or more delivery grid cells of the access point, such that there is more than one path to and/or from the access point for the remotely operated delivery vehicle via the plurality of delivery grid cells. The remotely operated delivery vehicle is arranged to transport the storage container from the delivery port of the storage grid across the delivery grid to the access point and return the storage container to the delivery port for storage within the storage grid. The access point is provided in a container accessing station, said station being arranged for separating the robotic or human operator from the delivery rail system and the remotely operated delivery vehicle. The container accessing station comprises a cabinet comprising walls and a top cover supported thereon, wherein the items held in the storage container carried by a remotely operated delivery vehicle at the access point is reachable through an opening in the top cover.

An embodiment provides unmanned aerial vehicles (UAVs) for infrastructure surveillance and monitoring. One example includes monitoring power grid components such as high voltage power lines. The UAVs may coordinate, for example using swarm behavior, and be controlled via a platform system. Other embodiments are described and claimed.

An unmanned aerial vehicle (UAV) control system and a UAV control method are provided. The UAV control method includes: storing a reporting configuration by a UAV; communicatively connecting to the UAV and storing at least one historical status information corresponding to the UAV by a server; reporting to the server at least one current status information according to the reporting configuration by the UAV; calculating a variance between the at least one historical status information and the at least one current status information by the server; and updating the reporting configuration of the UAV according to the variance by the server.

Provided is a method for delivering goods through an unmanned aerial vehicle group including a plurality of aircraft respectively connected to delivery target goods. The method comprises identifying, by a master aircraft of the unmanned aerial vehicle group, an actual load applied to each of the aircraft by the goods while the unmanned aerial vehicle group is flying to deliver the goods, and controlling the unmanned aerial vehicle group by the master aircraft to adjust the actual load applied to each of the aircraft.

A method may include receiving, from an unmanned aerial vehicle (UAV), a first message via a first network using User Datagram Protocol (UDP). The method may further include determining whether a second message that is identical to the first message has been received from the UAV via a second network that is different than the first network. The method may additionally include processing the first message when the second message has not been received and discarding the first message when the second message has been received.

A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.

An autonomous vehicle guidance system that generates a path for controlling an autonomous vehicle based at least in part on a data structure generated based at least in part on sensor data that may indicate occupied space in an environment surrounding an autonomous vehicle. The guidance system may receive a grid and generate a grid associated with the grid and the data structure. The guidance system may additionally or alternatively sub-sample the grid (latterly and/or longitudinally) dynamically based at least in part on characteristics determined from the data structure. The guidance system may identify a path based at least in part on a set of precomputed motion primitives, costs associated therewith, and/or a heuristic cost plot that indicates a cheapest cost to move from one pose to another.

A transmitter loop is carried by a first aircraft. A receiver sensor is carried by a second aircraft. The first aircraft and the second aircraft fly away from each other. The transmitter loop transmits a primary magnetic field. The transmitted primary magnetic field induces a current in the earth. The induced current generates a secondary magnetic field in the air. The receiver sensor receives the generated secondary magnetic field, and detects strength of the received secondary magnetic field.