Learning Through Interaction
Raja discusses the evolution of robotics and emphasizes the importance of unsupervised learning for robots to truly understand their environment. By connecting perception with action, robots can learn through physical interaction rather than pre-programmed instructions, fostering a deeper comprehension of their surroundings. This approach highlights the necessity of integrating sensory data and action capabilities to achieve genuine understanding.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Towards Abstract Robotic Understanding with Raja Chatila - #118
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