Doug Morrison is a Robotics Applied Scientist with nine years of experience translating robotic vision research into real-world grasping systems, currently driving perception and manipulation work at Amazon in Germany. He holds a PhD focused on robotic vision and grasping and was a lead developer on Cartman, the Australian Centre for Robotic Vision’s winning entry in the 2017 Amazon Robotics Challenge. Doug specializes in creating general, reactive grasping strategies for unstructured, dynamic environments, combining control systems background with hands-on robotics engineering from both industry and academia. His experience spans internships and roles at Amazon, LYRO Robotics, and MIPAC, reflecting a track record of moving lab innovations into robust, production-capable systems. Notably, he brings a control-systems foundation plus a university medal in Electrical and Aerospace Engineering, giving him a rare blend of rigorous theory and practical implementation.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Robotic Vision & Grasping, Doctor of Philosophy - PhD, Robotic Vision & Grasping at QUT (Queensland University of Technology)
Bachelor of Engineering - BE, Electrical and Aerospace, University Medal, Honours Class I, Bachelor of Engineering - BE, Electrical and Aerospace, University Medal, Honours Class I at The University of Queensland
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
Contributions:1 release, 24 commits, 1 PR in 2 years 2 months
pytorchgraspgraspingreal-timerss
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Doug Morrison - Robotics Applied Scientist at Amazon