This tutorial paper presents the expositions of stochastic optimal feedback control theory and Bayesian spatiotemporal models in the context of robotics applications. The presented material is self-contained so that readers can grasp the most important concepts and acquire knowledge needed to jump-start their research. To facilitate this, we provide a series of educational examples from robotics and mobile sensor networks.
Tips on Stochastic Optimal Feedback Control and Bayesian Spatiotemporal Models: Applications to Robotics
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received February 14, 2014; final manuscript received September 22, 2014; published online October 21, 2014. Editor: J. Karl Hedrick.
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Choi, J., and Milutinović, D. (October 21, 2014). "Tips on Stochastic Optimal Feedback Control and Bayesian Spatiotemporal Models: Applications to Robotics." ASME. J. Dyn. Sys., Meas., Control. March 2015; 137(3): 030801. https://doi.org/10.1115/1.4028642
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