1. This site uses cookies. By continuing to use this site, you are agreeing to our use of cookies. Learn More.

Helping robots handle uncertainty

Discussion in 'Science Daily - Artificial Intelligence News' started by RSS, Aug 3, 2015.

  1. RSS

    RSS New Member Member

    Decentralized partially observable Markov decision processes are a way to model autonomous robots' behavior in circumstances where neither their communication with each other nor their judgments about the outside world are perfect. Now researchers note that an algorithm for planning robot collaborations makes complex models practical.[​IMG]

    Continue reading...

Share This Page