Robot Learning in the Era of Foundation Models: A Survey

Understand

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning from automation towards general embodied Artificial Intelligence (AI).

• Adopting foundation models together with traditional learning methods to robot learning has increasingly gained recent interest research community and showed potential for real-life application.
• However, there are few literatures comprehensively reviewing the relatively new technologies combined with robotics.
• The purpose of this review is to systematically assess the state-of-the-art foundation model techniques in the robot learning and to identify future potential areas.