Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new algorithm for robots that promises to improve their efficiency in unfamiliar environments. This system, known as “Estimate, Extrapolate, and Situate” (EES), makes it easier for robots to practice and perfect skills such as sweeping and placing objects without human intervention.
How does the new algorithm for robots work?
The EES algorithm, presented at the Robotics: Science and Systems Conference integrates a vision system that tracks the robot’s environment and assesses the need to practice a specific skill. With this approach, robots can improve their performance in tasks such as cleaning and organizing, opening up new possibilities in sectors such as the home, hospitals and factories.
One of the abilities of the Spot autonomous robot. Source: Boston Dynamics via YouTube
In tests conducted with the quadruped robot Spot from Boston Dynamicsthe EES proved its effectiveness by significantly reducing training time compared to other traditional methods. This breakthrough underscores the potential of EES to optimize the adaptation of robots to unfamiliar environments, bringing closer the possibility of autonomous robots that can learn and improve in their everyday tasks.
This development, backed by institutions such as the U.S. National Science Foundation and the MIT Quest for Intelligence, could mark a milestone in the evolution of roboticsThe development, backed by institutions such as the U.S. National Science Foundation and MIT Quest for Intelligence, could mark a milestone in the evolution of robotics, facilitating the implementation of more adaptive and functional robots in everyday life.
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Source and photo: MIT
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