Teaching Robots How to Do Everything
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Navigating Robot Learning Challenges
This chapter explores the intricate process of training AI models for robotic control, focusing on the development of motor skills and the limitations posed by data scarcity. It details the use of teleoperation for data collection and the complexities involved in programming robots for delicate tasks. The discussion also highlights the importance of generalization and adaptability, using the Pi 0.5 model as a case study for household task performance and addressing the ongoing challenges of reliability and precision.
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