"Embracing Failure: A Key to Robot Learning"

Lerrel Pinto, an associate professor of computer science at NY University, is teaching robots how to perform tasks in the home by allowing them to fail. Using reinforcement learning, Pinto set up a simulated home environment and gave robots a primer based on videos of humans performing the tasks. The robots then attempted the tasks for 24 hours a day, learning from their mistakes and making adjustments. Pinto's work aims to improve robot learning and autonomy in real-world settings.