154. Can Robots Get a Grip?
People I (Mostly) Admire
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Advancements and Challenges in Robotics
This chapter explores the progress made in robotics, contrasting it with advances in machine learning and computer vision. It highlights the significant data requirements for training robots and the challenges of grasping objects in real-world scenarios, as well as the innovative approaches using probabilistic models. The discussion further examines the importance of combining vast data with traditional engineering principles to develop effective robotic solutions.
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