Future of Robotics
The discussion highlights the shift from traditional, model-driven industrial robots to the need for adaptable machines capable of handling complex tasks, such as smartphone assembly. Emphasizing the importance of curiosity and imitation, robots must learn through interaction and experimentation, ultimately aiming to outperform humans in efficiency and speed. Once mastered, these robots can be replicated and deployed widely, revolutionizing manufacturing processes.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
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