✉news TechnologyRobotics first seen 8 h ago, last 5 min ago, peak #3
Teaching Robots to Do More with Less Data
Researchers at the University of Pennsylvania are working on methods that let robots learn new tasks from far smaller amounts of training data. The work aims to make robotic systems cheaper and faster to deploy by reducing the data collection and training typically required, a persistent bottleneck in robotics and machine learning.
Why now: Reducing the data needed to train robots is a major challenge in robotics research, drawing attention to advances in efficient machine learning.
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Evidence
- Teaching Robots to Do More with Less Data · University of Pennsylvania
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