“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.”
Source: newsoffice.mit.edu
Conference website:
Paper presented (PDF):
http://auai.org/uai2014/proceedings/individuals/182.pdf
Laboratory for Information and Decision Systems
Found on Zero Moment
http://www.popsci.com/blog-network/zero-moment
See on Scoop.it – Cultibotics