Systems and methods are provided for a wall rolling unmanned aerial vehicle (UAV). A method is provided for rolling the UAV along a path on the surface of the wall. The method includes determining a trajectory for the UAV, determining motor inputs for the UAV, and operating the motors to roll and translate the UAV according to the trajectory along the path. A cage can be provided around the UAV to support contact between the UAV and the wall.

A payload retrieval apparatus including a support structure having an upper end and a lower end; a first sloped surface secured to the support structure and a second sloped surface positioned adjacent the first sloped surface; an opening between the first and second sloped surfaces leading to a space to allow a payload retriever attached to a tether suspended from a UAV to travel into the space; an angled channel positioned beneath the first sloped surface having a tether slot to allow for passage of the tether as the payload retriever is drawn through the angled channel; and a payload holder positioned at the end of the angled channel.

Systems, devices, and methods for a gas sensor comprising one or more optical cells; a processor having addressable memory, the processor configured to: detect gas from the one or more optical cells of the gas sensor, where the detected gas is one or more of: methane, carbon dioxide, hydrogen sulfide, water, ammonia, sulfur oxides, and nitrogen; record data corresponding to the detected gas, where the recorded data comprises at least one of: an ambient temperature from a temperature sensor, an ambient pressure from a pressure sensor, an aerial vehicle telemetry, and an aerial vehicle location from a global positioning system (GPS); and generate a map of atmospheric greenhouse gas concentration on a map based on the detected gas and the recorded data.

Systems, devices, and methods including a processor having addressable memory, where the processor is configured to: determine one or more flight paths for an aerial vehicle, where the determined flight path creates a continuous surface about one or more potential gas sources of a survey site; receive a trace gas data from one or more trace gas sensors of the aerial vehicle of the continuous surface as the aerial vehicle flies the determined one or more flight paths; and determine based on the received trace gas data whether a gas leak is present in the received survey site and a rate of the gas leak if present in the survey site.

Provided is a system for point to point wireless power transmission including: a plurality of autonomous and semi-autonomous unmanned systems configured as a mobile transmitting and/or receiving power station, through which unmanned systems can navigate, maneuver, beam ride, and recharge from point to point. Provided is a method of adapting unmanned systems to receive and transmit power point-to-point amongst themselves. The method includes controlling a swarm formed from a plurality of autonomous synchronized unmanned systems to form a larger transmitter and receiver for a mobile power station.

Techniques for automatically initializing customer assistance in a retail store based on video analysis are provided. An exemplary method includes retrieving video data from a database and extracting one or more features from the video data. The method also includes identifying a product is missing on a store shelf based on the one or more features. The method includes training an artificial intelligence model using the one or more features to identify a customer needs assistance, and applying the trained artificial intelligence model to predict a customer needs assistance at a particular location in the store. The method includes sending a notification to a computing device of a customer service representative, wherein the notification identifies the customer, the customer's location, and information about the missing product.

A landing information determination apparatus according to this example embodiment includes an acquisition unit, a determination unit, and a communication unit. The acquisition unit acquires, for each of a plurality of landing places each including a facility on which an aircraft capable of autonomously flying can land, aircraft information being information concerning the aircraft flying in a surrounding area of a landing place, and place information being information concerning the landing place. The determination unit determines a landing place for each of the aircrafts and a flight path to the landing place, based on the aircraft information for each of the aircrafts, and the place information for each of the landing places, which are acquired by the acquisition unit. The communication unit transmits information indicating the landing place and the flight path for each of the aircrafts, which are determined by the determination unit, to the corresponding aircraft.

The present disclosure provides a method for detection of soil heavy metal pollution using an unmanned aerial vehicle (UAV) and an X-ray fluorescence (XRF) technology. Based. Based on hardware equipment such as the UAV, XRF analyzer, and embedded equipment, the present disclosure develops an altitude hold module of the system and a ground-contact monitoring module, and assists the UAV to achieve safe and accurate fixed-point hovering, and develops a driving device for data acquisition to replace manual control and realize the automatic acquisition of XRF data. The data inversion method is realized by using embedded equipment, and after the data is acquired by the portable XRF analyzer near the ground, the algorithm research of inversion processing of contents of heavy metal elements in soil is realized, such that the portable XRF analyzer can automatically and accurately detect the contents of heavy metals in soil at a certain distance.

The invention relates to a method for controlling a light source (7), the method using (a) at least one pose estimate (1) of a camera (8) configured to capture one or more images of a scene of interest (13) which comprises at least one landmark (9), as said light source is operated to emit light which illuminates said scene of interest, (b) a landmark map (2) comprising at least 3D location information of a plurality of landmarks comprising the at least one landmark in the scene of interest, (c) an illumination model (3) describing a relationship between an emission illumination power and reflection illumination power, wherein said emission illumination power is the power of light emitted by the light source (7) to illuminate said scene of interest, and said reflection illumination power is the illumination power of light reflected by one or more landmarks in said scene of interest and received by the camera, and (d) a predefined threshold reflection illumination power (4). The method comprises the following steps: (a) determining (5), for at least one of the plurality of landmarks, at least one optimized emission illumination power of light (6) to be emitted by the light source, and an illumination time course (6) during which the light source should be operated to emit light which has an emission illumination power which is equal to the at least one optimized emission illumination power, using (i) the at least one pose estimate (1) of the camera, (ii) the 3D location information of the at least one of the plurality of landmarks, (iii) the illumination model (3), and (iv) the predefined threshold reflection illumination power (4); and (b) operating the light source (7) to emit light which has an emission illumination power which is equal to the at least one optimized emission illumination power (6), for a time period which is equal to the determined illumination time course (6).

A method and system for performing painting using an unmanned aerial vehicle is disclosed herein. The system comprises an unmanned aerial vehicle and a user computing device. The unmanned aerial vehicle comprises a plurality of nozzles, at least one camera, at least one sensor, at least one software module, a plurality of paint containers, lidar, and a plurality of blades.