MIT has developed a system to plan robot motions and tasks for the home
Why don’t we have more robots at home? It’s a complex question, and our homes are complex. The relative ease with which autonomous systems can navigate a structured environment is a major reason why they are so popular on factory and warehouse floors. Most systems require that a space is mapped before they can begin working, but there’s little variation once the map has been created.
The homes, on the contrary, are a bit of a nightmare. They are not only different from one unit to the next, but they also have a lot of obstacles. And they tend to be dynamic as people move furniture around and leave things on the floor. The most common robots found in homes are vacuum cleaners. They’re still being improved after years on the market.
Researchers at MIT CSAIL will be showcasing PIGINet this week (Plans Images Goals and Initial Facts), a system designed to help home robot systems plan their tasks and movements. The neural network was designed to streamline their ability create plans of action for different environments.
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MIT develops a motion and task planning system for home robots
