This book tries to address the following questions: How should the uncertainty and incompleteness inherent to sensing the environment be represented and modelle
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area in robotics, concerned with p
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together wit
Reliable perception is required in order for robots to operate safely in unpredictable and complex human environments. However, reliability of perceptual infere
Reviews the use of factor graphs for the modeling and solving of large-scale inference problems in robotics. Factor graphs are introduced as an economical repre