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