When different sensors provide complementary capabilities, a navigation system can be designed that provides accuracies better than that of any of the individual sensors. That is the idea behind hybrid navigation systems. We apply multisensor data fusion techniques along with Bayesian estimation technology to design hybrid navigation systems that enable ground or aerial robots to navigate in challenging environments.