Vision-Based Cable-Suspended Load Transport with Two Quadrotors

We propose a novel collaborative transport scheme, in which two quadrotors transport a cable-suspended payload at accelerations that exceed the capabilities of previous collaborative approaches, which make quasi-static assumptions. Furthermore, this is achieved completely without explicit communication between the collaborating robots, making our system robust to communication failures and making consensus on a common reference frame unnecessary. Instead, they only rely on visual and inertial cues obtained from on-board sensors.

Reference:
M. Gassner, T. Cieslewski, D. Scaramuzza
Dynamic Collaboration without Communication: Vision-Based Cable-Suspended Load Transport with Two Quadrotors, IEEE International Conference on Robotics and Automation (ICRA), 2017

http://rpg.ifi.uzh.ch/research_multirobot.html

Global UAV Camera Gimbals Market 2017

Global UAV Camera Gimbals Market 2017 : Xiro, Moza, Yuneec, EHang, Nebula, Parrot, KumbaCam, Turbo ace

UAV Camera Gimbals
UAV Camera Gimbals

A market study based on the “UAV Camera Gimbals Market” across the globe, recently added to the repository of Market Research, is titled ‘Global UAV Camera Gimbals Market 2017’. The research report analyses the historical as well as present performance of the worldwide UAV Camera Gimbals industry, and makes predictions on the future status of UAV Camera Gimbals market on the basis of this analysis.

Get Free Sample Copy of Report Here :
bit.ly/2mRkXkA

Top Manufacturers Analysis Of This Report

Freefly
WenPod (WEWOW)
Xiro
Moza
Yuneec
EHang
Nebula
Parrot
EVO Gimbals
Redfox
Big Balance Tech
CAME-TV
KumbaCam
Turbo ace

The report studies the industry for UAV Camera Gimbals across the globe taking the existing industry chain, the import and export statistics in UAV Camera Gimbals market & dynamics of demand and supply of UAV Camera Gimbals into consideration. The ‘UAV Camera Gimbals’ research study covers each and every aspect of the UAV Camera Gimbals market globally, which starts from the definition of the UAV Camera Gimbals industry and develops towards UAV Camera Gimbals market segmentations. Further, every segment of the UAV Camera Gimbals market is classified and analyzed on the basis of product types, application, and the end-use industries of the UAV Camera Gimbals market. The geographical segmentation of the UAV Camera Gimbals industry has also been covered at length in this report.

The competitive landscape of the worldwide market for UAV Camera Gimbals is determined by evaluating the various industry participants, production capacity, UAV Camera Gimbals market’s production chain, and the revenue generated by each manufacturer in the UAV Camera Gimbals market worldwide.

Enquire Here :
bit.ly/2n0BGij

The global UAV Camera Gimbals market 2017 is also analyzed on the basis of product pricing, UAV Camera Gimbals production volume, data regarding demand and UAV Camera Gimbals supply, and the revenue garnered by the product. Various methodical tools such as investment returns, feasibility, and market attractiveness analysis has been used in the research to present a comprehensive study of the industry for UAV Camera Gimbals across the globe.

About Us :

Worldwide Research are a trusted brand in the research industry with capability of commissioning complex projects within a short span of time with high level of accuracy. At Worldwide Research, we believe in building long term relations with our clients. Our services cover a broad spectrum of industries such as Automotive and Aerospace, Medical Devices, Technology, Machinery & Manufacturing.

Contact Us :

Worldwide Research
United States

This release was published on openPR.

Sensors for Robotics – Markets and Forecasts (2017-2027) – Market for Robotic Sensing will Reach Over $16.1 Billion by 2027 – Research and Markets


Research and Markets has announced the addition of the “Sensors for Robotics: Technologies, Markets and Forecasts 2017-2027” report to their offering.

The report focuses on sensor technologies and components in robotics applications that are currently under development and are enjoying increased visibility, investment and growth. This is mainly due to the capabilities sensors are expected to enable in robotics. Simply put, smarter, sensor-enabled robots that can make decisions based on sensory feedback are expected to have massive societal impact, as such robotic systems will proliferate in many more market segments than current robotic systems address. Continue reading

sUAS: The future of precision agriculture

Kevin Price

When technology and agriculture collide, the outcome is often astonishing. At Kansas State University’s recent Agronomy Field Day, the featured technology; small Unmanned Aircraft Systems, astounded attendees.

With what at first glance appears to be a toy remote control airplane, researchers at K-State are able to take photos of field crops. This data allows them to better understand and analyze plant health. Through 3-D image creation accurate up to one centimeter, researchers are now able to determine how to manage individual parts of a field for more efficient production.

Kevin Price, K-State Agronomy and Geography leader in sUAS research said, “The bird’s eye view allows you to see things you could never see from the ground.”

This technology, which uses a variety of spectral data, has potential for several agricultural uses, including: early-generation crop breeding line evaluations, quick and wide-scale scouting of croplands for crop conditions and weed densities, grassland conditions and production evaluation, detection of noxious weeds and detection of blue green algae blooms in ponds and reservoirs.

By combining light and imaging techniques with sUAS, researchers are able to get a better picture of plant health. This allows them to identify problems in the plant before the human eye is able to see them. In the future this will lead to earlier and more precise applications of crop management strategies.

The technology and data collection segment of this industry is being mostly utilized by researchers, as there is still much more to come before it can be widely used by farmers. It is essential that basic software is developed to assist in turning the data collected by these aircrafts, into information.

“You can’t use just raw data for farm management,” Price said.

The only software commercially available designed for interpretation of sUAS data isAgPixel. Still in its early stages, AgPixel may be the next software in the hands of producers applying precision agriculture techniques to their operations. K-State’s goal is to develop software that can be easily used by producers and agronomists to assist in management decisions on the farm.

Read full article…