Path Planning of Cleaning Robot with Reinforcement Learning
Quick summary
arXiv:2208.08211v2 Announce Type: replace-cross Abstract: Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the problem of efficient path planning for cleaning robot has become important and many studies have been conducted. However, most of them are about moving along a simple path segment, not about the whole path to clean all places. As the emerging deep learning technique, reinforcement learning (RL) has been adopted for cleaning robot. However, the models for RL o
Key takeaways
- arXiv:2208.08211v2 Announce Type: replace-cross Abstract: Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing.
- To solve this electricity consumption issue, the problem of efficient path planning for cleaning robot has become important and many studies have been conducted.
- However, most of them are about moving along a simple path segment, not about the whole path to clean all places.
Why it matters
“Path Planning of Cleaning Robot with Reinforcement Learning” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.
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