Neural Task Programming
Animesh highlights the innovative aspect of neural task programming, which combines traditional modularity and symbolic planning with deep learning to automate the design of action sequences from video inputs. Marynel shares her journey from Venezuela to becoming a researcher in human-robot interaction, emphasizing the excitement of blending computer science with physical robotics. Their work at Stanford explores the potential of general-purpose robots in understanding complex human behaviors in crowd settings.In this clip
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The AI Podcast
Teaching Bots Learn by Watching Human Behavior - Ep. 67
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