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#17 Fizyr: Applying Deep Learning for Vision Guided Robotics
Hello and welcome to Berlin Robotics Podcast number 17. Today I am talking to CEO Herbert ten Have from Fizyr. Fizyr was a double winner of the Amazon Picking Challenge. This was a challenge to pick and stow a variety of products between a shelf and a bin. Besides the unstructured environment the main challenges are: 3D Vision, motion planning, grasping, task planning and robustness. "We focus on solving the challenges of global leading machine factories and system integrators", Herbert says. "We often solve their first and primary question; can a deep learning algorithm be trained to cope with variation and robust enough to provide the required answers? We mostly start with a small and quick PoC (Proof of Concept) to provide those answers. Getting those results and seeing clients impressed and enthusiastic is always a great pleasure for our team in Delft." Deep learning helps robots to count orchids: https://www.floraldaily.com/article/9... Fizyr: https://fizyr.com/ Follow Fizyr on: https://www.linkedin.com/company/fizyr Open source: https://github.com/fizyr Contact: h.tenhave@fizyr.com Youtube: https://www.youtube.com/watch?v=1Adz0s4CcNU