RoboNet: Large-Scale Multi-Robot Learning

Understand

Robot learning has emerged as a promising tool for taming the complexity and diversity of the real world.

• Methods based on high-capacity models, such as deep networks, hold the promise of providing effective generalization to a wide range of open-world environments.
• However, these same methods typically require large amounts of diverse training data to generalize effectively.
• In contrast, most robotic learning experiments are small-scale, single-domain, and single-robot.