Alberto Rodriguez, assistant professor of mechanical engineering at MIT joined with a team from the MIT MCube Lab produced a very accurately moving robot that uses machine learning hardware to play a mean game of Jenga. The robot smoothly removes a wooden piece in two movements and the place it at the top of the pile and is able to replicate this movement many times while learning and retaining information about the conditions in real time.
The robot efficiently and clearly identifies when a piece feels stuck or free and decides how to extract it using far less data. This approach as a successful example of AI moving into the physical world. The robot learns as it interacts with its environment and captures some of the essential skills that define human manipulation.
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Using machine-learning and sensory hardware, Assistant Professor Alberto Rodriguez and members of MIT's MCube lab have developed a robot that is learning how to play the game Jenga. The technology could someday be used in robots for manufacturing assembly lines. 🎥: MIT MechE #robotics #AI #machinelearning #manufacturing #jenga
via MIT News