A Geo-containment system includes at least one unmanned aircraft and a control system that is configured to limit flight of the unmanned aircraft based, at least in part, on predefined Geo-spatial operational boundaries. These boundaries may include a primary boundary and at least one secondary boundary that is spaced apart from the primary boundary a minimum safe distance. The minimum safe distance is determined while the unmanned aircraft is in flight utilizing state information of the unmanned aircraft and dynamics and dynamics coefficients of the unmanned aircraft. The state information includes at least position and velocity of the unmanned aircraft. The control system is configured to alter or terminate operation of the unmanned aircraft if the unmanned aircraft violates the primary Geo-spatial operational boundary or the secondary Geo-spatial boundary.

An aerial robot includes an image sensor for capturing images of an environment. The robot receives a first image captured at a first location. The robot identifies one or more first pixels in the first image. The first pixels correspond to one or more targeted features of an object identified in the first image. The robot receives a second image captured at the second location. The robot receives its distance data that estimates a movement of the robot from the first location to the second location. The robot identifies second pixels in the second image. The second pixels corresponding to the targeted features of the object as appeared in the second image. The robot determines an estimated distance between the robot and the object based on the changes of locations of the second pixels from the first pixels relative to the movement of the robot provided by the distance data.

A computing device may generate a command for performing inventory management of a storage site based on inventory management data. The computing device may cause the inventory aerial robot to perform an inventory management trip based on the command. The inventory management trip may include receiving an input that includes coordinates of a plurality of target locations in the storage site, departing from a base station, navigating through the storage site to the plurality of target locations, capturing an image associated with an inventory item location at the one of the target locations, and returning to the base station. The computing device may perform an analysis of the image captured by the inventory aerial robot. The base station may perform swapping of a battery pack of the inventory aerial robot at the base station to prepare the inventory aerial robot for another inventory management trip.

An embodiment includes sending a first drone, including a carbon dioxide sensor, into an area. The embodiment includes detecting a level of carbon dioxide in the area and generating a map including a position and level of carbon dioxide. The embodiment includes calculating a carbon dioxide hotspot above a threshold. The embodiment includes creating a plan to diffuse the carbon dioxide hotspot in a time limit by calculating an amount of a drones to send to the area based on a needed amount of humidity and light to diffuse the carbon dioxide hotspot in the time limit. The amount of humidity and light are calculated using an optimizer module. The embodiment includes sending the calculated amount of drones to the area of the carbon dioxide hotspot. The embodiment includes diffusing the carbon dioxide hotspot, sampling the area, and updating the map with new levels of carbon dioxide.

An automated system of airborne drones may be equipped with components for navigating within a warehouse environment, locating specific bins of product as assigned, retrieving a single item from the bin, and delivering the retrieved item to a central shipping area or disposing in a designated location including conveyor belts or mobile robotic platforms.

An indoor monitoring system for a structure comprises an unmanned floating machine provided with a propeller to float and move in the air inside a structure; a distance measuring unit on said machine to measures a distance between said machine and an inner wall surface of the structure; an inertial measurement unit on said machine to identify the attitude of the body of said machine; an image-capturing unit on said machine to capture an image of a structural body on the side of said machine; a control unit which controls said machine remotely; a flight position information acquiring unit which uses information from the distance measuring unit and the inertial measurement unit to acquire information relating to the current position of said machine; and a monitor unit which displays image information from the image-capturing unit and the position information from the flight position information acquiring unit.

A rotorcraft including a fuselage, one or more motor-driven rotors for vertical flight, and a control system. The motors drive the one or more rotors in either of two directions of rotation to provide for flight in either an upright or an inverted orientation. An orientation sensor is used to control the primary direction of thrust, and operational instructions and gathered information are automatically adapted based on the orientation of the fuselage with respect to gravity. The rotors are configured with blades that invert to conform to the direction of rotation.

An unmanned aerial vehicle (UAV) assessment and reporting system may utilize one or more scanning techniques to provide useful assessments and/or reports for structures and other objects. The scanning techniques may be performed in sequence and optionally used to further fine tune each subsequent scan. A first image may be a nadir image in some embodiments. A boustrophedonic scan of the area may include images captured during a boustrophedonic flight pattern within a first altitude range. Distances to an underlying surface (e.g., ground or structure) may also be determined. A loop scan of the structure may be performed at a second flight pattern in which the UAV travels around the perimeter of the structure. A micro scan of the structure in a third flight pattern may include vertical approaches proximate the structure to capture detail images of the structure.

An interior length of a confined space is inspected by autonomously flying an unmanned aerial vehicle having a sensor pod. The sensor pod can be tethered to the unmanned aerial vehicle and lowered into the confined space from above perhaps by an electromechanical hoist. An altitude or heading of the sensor pod can be measured. The confined space can be the flue of a chimney.

An autonomous mobile robot checking system comprises a transmission line, an unmanned aerial vehicle and an autonomous mobile device. The unmanned aerial vehicle is used for sensing stacked goods to generate sensing information. The autonomous mobile device is used for receiving the sensing information through the transmission line, and supplying power to the unmanned aerial vehicle through the transmission line to enable the unmanned aerial vehicle to sense the stacked goods. The autonomous mobile device provides a checking result for the stacked goods based on the sensing information.