Lecture

Acquiring Data for Learning

Description

This lecture covers the main methods to train robots, including reinforcement learning and learning from demonstration. It discusses the challenges of human-robot interaction, teleoperation, and the use of exoskeletons. The instructor explains how robots can learn through kinesthetic teaching and observational learning, emphasizing the importance of data collection for training robots.

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