TrimBot2020

FlowNet 2.0 @CVPR 2017

FlowNet 2.0 is the first optical flow approach based on deep learning that reaches state-of-the-art accuracy. At the same time it is by a factor 100 faster than previous state-of-the-art techniques. This allows for reliable motion estimation at interactive frame rates. For more information visit the paper page.

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DeMoN @CVPR 2017

DeMoN is the very first work that formulates the problem of joint egomotion and depth estimation as a pure learning problem. Given two images from a single moving camera, DeMoN can estimate depth and camera motion at interactive frame rates. For more information, please visit the website.

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Twitter
#integration #week is taking place @WUR and #trimbot is ready to trim @EU_H2020 @eu_Robotics https://t.co/oJzEQikGUy2 weeks
Rose cutting is automatic with the #trimbot2020 #robot @H2020Projects @EU_H2020 @KinovaRobotics https://t.co/hKG1bjNKtN2 months
Automatic #Trimming with a #robotic arm - FULL DEMO https://t.co/n4NmpdK9FI @EU_H2020 @H2020Projects @EUSciComm @eu_Robotics3 months
RT @NatashaBertaud: “There is no lack of talent in #Europe, no lack of ideas. And Europe’s industry drives our economy.” - @JunckerEU’s fu…5 months
#EUfunded #H2020 Automatic trimming at #EUIndustryDay #robotics https://t.co/RLaSTucZ9I5 months