Clever research from ETH showing how it uses the drone camera to maintain position while a quadcopter spins to maintain control after one motor fails. 

From DroneDJ:

Researchers at the University of Zurich and the Delft University of Technology have been able to keep a drone flying after a motor fails. The researchers have managed to use onboard cameras to keep the test drones in the air and flying safely.

A team of researchers has come up with a simple yet ingenious way to solve a problem that will usually result in a drone falling to the ground due to a motor failure.

Well, motor failures don’t often happen, but when they do, the drone needs to stay in the air regardless, especially if people are nearby or the drone is being used for a commercial job. Redundancy is important when it comes to drones.

Davide Scaramuzza, head of the Robotics and Perception Group at UZH and of the Rescue Robotics grand challenge at NCCR Robotics, shared:

When one rotor fails, the drone begins

Zion Market Research has published a new report titled “Drone Logistics and Transportation Market By Solution (Shipping, Warehousing, Software, and Infrastructure), By Drone (Passenger, Freight, and Ambulance), and By Sector (Commercial and Military): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2018–2025”. According to the report, the global drone logistics and transportation market was USD 4.56 billion in 2018 and is expected to reach around USD 18.05 billion by 2025, at a CAGR approximately 21.9% between 2019 and 2025.

Unmanned aerial vehicles, also known as drones, are small aircrafts that don’t have a human pilot onboard that can either operated remotely or automated and travel with the help of GPS coordinates. They are made of light material to reduce weight, which enables them to fly at high altitudes. Drones are controlled by a ground cockpit and can easily return to their marked starting position in case of low battery or when the drone loses contact with

An agricultural robot also referred to agri-robot, is a robot designed and deployed for agricultural purposes. Agriculture robots automate the farming process which is repetitive and time-consuming. The agriculture drones are unmanned aerial vehicles operated by controllers over the farmland. The agricultural robots and drones are used in agricultural applications like spraying fertilizer and pesticides, cloud seeding, planting seeds, harvesting, crop growth, and farmland monitoring as well as soil analysis. 

The agricultural sector across the globe is experiencing transition by replacing and changing the traditional framing processes and equipment. The implementation of automated farming equipment like agriculture drones and robots is facilitating the farming business for earning greater profits by adding analytical decision methods and autonomous operations.

According to the research report from Facts and Factors, the global agricultural robots and drones market in 2019 was approximate

The main focus of this research is to develop a real-time forest fire monitoring system using an Unmanned Aerial Vehicle (UAV). The UAV is equipped with sensors, a mini processor (Raspberry Pi) and Ardu Pilot Mega (APM) for the flight controller. This system used five sensors. The first is a temperature sensor that served to measure the temperature in the monitored forest area. The others sensors are embedded in the APM. There are a barometer, Global Positioning Sensor (GPS), inertial measurement unit (IMU) and compass sensor. GPS and compass are used in the navigation system. The barometer measured the air pressure that is used as a reference to maintain the height of the UAV. The IMU consists of accelerometer and gyroscope sensors that are used to estimate the vehicle position. The temperature data from the sensor and the data from GPS are processed by the Raspberry Pi 3, which serves as a mini processor. The results of the data processing are sent to the server to be accessible onli

The main focus of this research is early detection system for forest fires by using Unmanned Aerial Vehicle (UAV). Data source of fires are collected by mobile devices such as GPS-equipped UAV quadcopter, non-contact infrared sensor, and the sensor stabilizer. The data from sensor is sent via telemetry link 433 Mhz, towards the Ground Control Station. Then the data is processed by a program that has been made, namely SPTA Real-time v0.1.0, which can show the temperature data as well as the color layer based on the difference of temperature levels in real-time on a digital map layer. The coordinates of fires are observed by SPTA realtime v0.1.0, and then it is compared with the coordinates of the source of the fire that is recorded manually. The results of data retrieval, the area that monitored is 3662 m2, constant height of 30 m, quadcopter speed of 5 m / s. First Data, with wind speeds of 3.2 m / s has a difference of 1.18 m from the coordinate source of the fire, within GPS toleranc

I left the tittle wide open intentionally.  This is something that is beyond my skills.  One of the things that we all struggle with.  If you want two cameras, you have to have two transmitters or switch betwen them.  Telemetry from your autopilot, can get some of that from the OSD butr to update the autopilot, you need another tranciever  that you can also use for telemetry sometimes.  Then you need the reciever for the remote control stuff.  OK Thats two transmitters, one transciever that really doesn't have good range and a reciever.  All of this back and forth is data.  Some analog some digital.  What I am hoping to throw into the hornets nest here is an idea that I'm hoping the community can take and run with it.  What I'm proposing is using 802.11n  Not g or ac but n.  Reason, most of the wireless service providers are using n to distribute their product, internet connection.  With n you have a range that is in quite a few miles with excellent bandwidth. An 802.11n tranciever can

Enterprises & Startups can leverage FlytNow APIs to build & scale automated, cloud-connected drone applications, and reduce time-to-market.

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M-Eagle A2 long endurance vtol drone equips with Herelink 2.4Ghz HD video transmission system, which is an all-in-on data video and rc system with max range 20km.
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From NewAtlas:

No matter how good we humans have made something, chances are nature did it better millions of years ago. Rather than compete, it’s often better to tap into the natural version – and that’s exactly what scientists have done with the Smellicopter, a drone that uses an antenna from a live moth to sniff out its targets.

We humans don’t tend to rely on it too much, but to moths, the sense of smell is crucial. They use their feathery antennae to scan for the smell of flowers, mates, and other important things, so they’re incredibly sensitive – a single scent molecule can trigger a cascade of cellular responses, very quickly.

Realizing that, engineers at the University of Washington hooked up an antenna from a live moth to a suite of electronics, and used it to guide a drone towards specific scents. They call the end result the Smellicopter.

“Nature really blows our human-made odor sensors out of the water,” says Melanie Anderson, lead author of the study. “By using an actual

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