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Found 4 papers, 3 papers with code
Hearing Touch: Audio-Visual Pretraining for Contact-Rich Manipulation
Although pre-training on a large amount of data is beneficial for robot learning, current paradigms only perform large-scale pretraining for visual representations, whereas representations for other modalities are trained from scratch.
Train Offline, Test Online: A Real Robot Learning Benchmark
Three challenges limit the progress of robot learning research: robots are expensive (few labs can participate), everyone uses different robots (findings do not generalize across labs), and we lack internet-scale robotics data.
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
In this setup, the agent first learns to explore across many environments without any extrinsic goal in a task-agnostic manner.
See, Hear, Explore: Curiosity via Audio-Visual Association
Exploration is one of the core challenges in reinforcement learning.
