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Found 3 papers, 2 papers with code
Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
We present HIMOS, a hierarchical reinforcement learning approach that learns to compose exploration, navigation, and manipulation skills.
N$^2$M$^2$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Despite its importance in both industrial and service robotics, mobile manipulation remains a significant challenge as it requires a seamless integration of end-effector trajectory generation with navigation skills as well as reasoning over long-horizons.
Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds
Audio-visual navigation combines sight and hearing to navigate to a sound-emitting source in an unmapped environment.
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