Helping robots handle uncertainty
Wednesday, June 3, 2015 - 13:20
in Mathematics & Economics
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.