Robots can now train themselves with new "practice makes perfect" algorithm
– Robots
MIT and The AI Institute developed the "Estimate, Extrapolate, and Situate" (EES) algorithm, enabling robots to identify skill weaknesses and practice autonomously for improvement.
– New Algorithm
The algorithm was tested on Boston Dynamics' Spot robot, significantly reducing practice time for tasks like sweeping and handling objects, enhancing efficiency.
– Robot Testing
Researchers envision this technology improving robots in various environments, such as factories and households, with potential for combining virtual and physical practice.
– Future Applications
Future development aims to create algorithms that can reason over sequences of practice, helping robots learn complex tasks independently, essential for widespread home use.
– Long-term Goals