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Chuck Thorpe - How CMU Became an Autonomous Vehicle Powerhouse

FreakTakes

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Navigating Academia and Industry in Autonomous Vehicle Research

This chapter explores the structural differences between academic and industry roles in computer science, with a focus on Carnegie Mellon University's approach to autonomous vehicle development. It discusses the flexible research track and the collaborative efforts within academic labs, highlighting the integration of neural networks and the evolution of vehicle systems. The narrative reflects on historical contributions and the significance of effective project management in fostering innovation in robotics.

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