Autonomous mobile robots (e.g., self-driving cars, delivery trucks) are emerging and reshaping the world. However, there is one critical problem blocking the entire industry: how can mobile robots drive safely and naturally in the complex 3D world, and how do we know? In this talk, I will discuss our solution, called "training academy", to the aforementioned problem. We apply 3D vision, deep learning, and reinforcement learning techniques to generate real-world, high-fidelity driving scenarios and train the autonomous systems to develop human-like intelligence in a simulated environment.
Chang Yuan is the CEO & co-founder of Foresight AI (https://foresight.ai), an AI and robotics technology company in Silicon Valley. Chang received his Ph.D. and M.S. from the University of Southern California, and B.Eng. from Tsinghua University, all in Computer Science. His expertise areas include computer vision, machine learning, and robotics. He has been building cutting-edge technologies and products, including Apple autonomous systems and FaceID, and Amazon Go. He has authored more than 15 publications and 30 patents.