👉 Cleaners computing is an innovative approach to artificial intelligence and machine learning that focuses on developing systems capable of performing tasks traditionally done by cleaners, such as vacuuming, mopping, and dusting, using autonomous robots. Unlike conventional AI systems that require extensive human supervision and data labeling, cleaners computing leverages self-supervised learning techniques, allowing robots to learn from their environment and adapt to new tasks without explicit programming. This method involves training robots in simulated environments where they can practice and refine their cleaning behaviors through trial and error, guided by rewards or penalties based on performance metrics. As a result, cleaners computing aims to create more efficient, adaptable, and cost-effective cleaning solutions that can operate independently in various settings, from residential homes to commercial spaces, reducing the need for human intervention and enhancing overall cleanliness and hygiene.
