Source: The Robot Report / By TRR Editor Engineers have 3D printed a physical artificial neural network that can analyze large volumes of data and identify objects at the actual speed of light. Developed at the UCLA Samueli School of Engineering the “diffractive deep neural network” uses the light bouncing from the object itself to identify that object in as little time as it would take for a computer to “see” the …Read More
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6 innovative robotic grippers lend a helping hand
Source: The Robot Report / By Steven Crowe With the collaborative robot market exploding, robotic grippers will be an area of growth and increasing competition. That was made abundantly clear at Automatica 2018 where new robotic grippers made quite a splash. While market growth has an impact on the amount of innovation taking place, Lasse Kieffer, CEO and co-founder of Purple Robotics, said a shift in mindset is also leading to new robotic grippers. “End …Read More