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Collaborative learning for robots | MIT News

curated by | July 30, 2014

“If constraints on power, communication, or computation mean that the robots can’t pool their data at one location, how can they collectively build a model? … At the Uncertainty in Artificial Intelligence conference in July, researchers from MIT’s Laboratory for Information and Decision Systems will answer that question. They present an algorithm in which distributed agents — such as robots exploring a building — collect data and analyze it independently. Pairs of agents, such as robots passing each other in the hall, then exchange analyses.”


Conference website:


Paper presented (PDF):


Laboratory for Information and Decision Systems


Found on Zero Moment


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