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Stanford AI Lab Papers at CoRL 2021

The Stanford AI Lab Blog

The Conference on Robot Learning (CoRL 2021) will take place next week. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford!

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Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

BAIR

In this blog post, we will discuss ReLMM, a system that we developed that learns to clean up a room directly with a real robot via continual learning. This post is based on the paper “Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation”, presented at CoRL 2021.

Robotics 275
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Interactive Fleet Learning

BAIR

We extend NVIDIA Isaac Gym , a highly optimized software library for end-to-end GPU-accelerated robot learning released in 2021, without which the simulation of hundreds or thousands of learning robots would be computationally intractable.

Robotics 246
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Reward Isn't Free: Supervising Robot Learning with Language and Video from the Web

The Stanford AI Lab Blog

In this blog post I’ll share some recent work that explores using data and supervision that can be easily collected through the web as a way of learning rewards for robots. 2021 with natural language descriptions for each video. So how can we scalably supervise the reward learning process? Chen, Suraj Nair, Chelsea Finn. Quillen, D.,