Tuesday, July 17, 2018

Robot News: Machine learning method for robots to see into the near future

ElcoHow. - This is one inforation for you who want to update information in robot method in this time with the article titled Robot News: Machine learning method for robots to see into the near future that published by Digital journal site.

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The first machine learning method capable of accurate extrapolation has been developed. The importance of this is that will provide robots with any ability to make predictions about future events based on limited data.

For future robotics, knowing how a robot will respond under different conditions is necessary to strengthen safe operations. The complexity is with assessing understanding what might break a robot without actually carrying out the activity and damaging the machine. The answer lies in a a new machine learning method. The method, which comes from the Institute of Science and Technology Austria, can make use of observations gathered under safe conditions.

The algorithm can then make accurate predictions across a range of possible conditions, based on the same physical dynamics, allowing a robot to predict which activities would be safe and which would be dangerous. This provides a resemblance of the cognition that human shave in sizing up risks before an action is taken. This requires extrapolation, or making predictions about situations outside of the known.

The approach used by the researchers is based on a shallow neural network approach, which enables an understanding of functional relations. This creates a class of learnable equations for a learning network to comprehend. The criteria adopted by the researchers was that the model must be plausible, which they defined as consisting "of components that have physical expressions in the real world". Further, the model should be interpretable: "which typically means that they consist only of a small number of interacting units."

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