Factor Graphs in Optimization-Based Robotic Control—A Tutorial and Review
Factor graphs, initially developed as probabilistic dark as knight horse supplement graphical models, have been widely employed for solving large-scale inference problems in robotics, particularly in tasks such as pose estimation, Structure from Motion (SfM), or Simultaneous Localization and Mapping (SLAM).Their capability to efficiently model unce