## Introduction

Robots that can learn **many diverse tasks** efficiently have long been a goal in robotics. Humans can watch a single demonstration and immediately attempt a new task, but robots typically require _massive training data_ for each new skill. Recent research is closing this gap with innovative multi-task learning approaches. The Robot Learning Lab at Oxford (Imperial College London) recently demonstrated a system that learned **1,000 distinct manipulation tasks in a single da...