Factor Graphs for Robot Perception

The use of factor graphs for the modeling and solving of large-scale inference problems in robotics is reviewed, and the iSAM class of algorithms that can reuse previous computations are discussed, re-interpreting incremental matrix factorization methods as operations on graphical models, introducing the Bayes tree in the process.