Check out our new video and learn what Photoneo is all about!
Watch HERE and join us.
PhoXi Control 1.2. is now officially available as PhoXi Control 1.2.14.
We worked hard to implement your feedback and make improvements to the previous version and the result is better performance and new features. These include:
PhoXi Control 1.2. is released!
Between 12 - 13 November you had a chance to meet our colleagues from the U.S. office at CRAV.ai - Collaborative Robots, Advanced Vision & AI Conference in San Jose, CA.
Kurt Häusler, our International Business Director, hold a speech on the evolution and future of bin picking and advanced automation.
If you would like to learn more about our bin picking solutions, check out our website sections on the Bin Picking Studio or AI-based AnyPick, or contact us at sales@photoneo.com.
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Photoneo at CRAV.ai
Is it possible to learn policies for robotic assembly that can generalise to new objects?
Searching for an answer to this question, researchers at Google, Stanford and Columbia combined forces to conduct a study investigating a machine learning system named Form2Fit.
Form2Fit aims to teach a picker robot with a suction arm the concept of assembling objects into kits by finding geometric correspondences between object surfaces and their target placement locations.
The experiments are based on the presumption that the system should pick up on subtle details in texture and geometry which should inform it about the right orientation. For these 3D points representations, the researchers use Photoneo's PhoXi 3D Scanner.
While Form2Fit presents a an important step towards generalisable kit assembly, it still needs to overcome some limitations. These suggest the direction of future research.
For more information, read the full paper here.
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Stanford University, Columbia University and Google combine AI with Photoneo's PhoXi Scanner to teach a robot to assemble objects