Weekend Roundup

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Percepto computer vision app for drones.

Weed-removing prototype robot.

A roundup of noteworthy news in the unmanned systems and robotics world this week including a European Union proposal for an unmanned aircraft regulatory framework, an open-sourced machine vision system for drones and Baidu autonomous cars.



The European Aviation Safety Agency released a proposal for a basic regulatory framework guiding the use of unmanned aircraft systems to be put in place by the end of the year. (Reuters)



An Israeli startup called Percepto is raising funds on Indiegogo for an open-source machine vision platform where developers can create apps that will enable the camera to accomplish functions such as collision avoidance, urban navigation, gesture control or tracking. (Wired)



Robin Li, CEO of Baidu, China’s largest internet search engine, announced that the company is working with auto manufacturers on autonomous vehicles that may be introduced later this year. (Bloomberg)



Researchers at a French science institute developed a bio-inspired machine vision system based on insect optics that enables an aerial bee-like robot to stabilize flight without the use of accelerometers. (Phys.org)



France, German and Italy will sign an agreement to jointly fund a medium altitude long endurance unmanned aerial vehicle, according to the French Defense Minister. (Defense Unmanned)

http://www.defense-unmanned.com/article/1713/uavs%3A-france,-germany-and...



Pakistan has successfully tested a combat drone that it says will be used to protect the nation against terrorists. (Washington Post)



A recent entry in MAKE and Cornell University’s Pitch Your Prototype competition is a proof of concept 3D printed, weed-picking robot that can identify and remove unwanted plant life. (Atmel)

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