currentscurrents t1_jbs5lnn wrote
Reply to comment by rainbow3 in [D] Development challenges of an autonomous gardening robot using object detection and mapping. by [deleted]
Robot control is fundamentally a reinforcement learning problem, and that subfield hasn't had the same breakthroughs as self-supervised learning.
This may be changing though - the current state-of-the-art can use self-supervised learning to build a world model, and then run RL inside that world model instead of on the raw input data.
They claim 100x better sample efficiency than traditional model-free RL. Definitely an area of research to watch.
rainbow3 t1_jbsugc8 wrote
Lawn robots work inside a border wire. They change direction randomly at the border. No machine learning but in practice it works really well. You can over think things.
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