Factor Graphs in Optimization-Based Robotic Control—A Tutorial and Review
Factor graphs, initially developed as probabilistic 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 uncertainty and the Key Chains local