Tips on stochastic optimal feedback control and Bayesian spatiotemporal models: Applications to robotics

Jongeun Choi; Dejan Milutinović

doi:10.1115/1.4028642

Tips on stochastic optimal feedback control and Bayesian spatiotemporal models: Applications to robotics

Jongeun Choi, Dejan Milutinović

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Article number	030801
Journal	Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume	137
Issue number	3
DOIs	https://doi.org/10.1115/1.4028642
Publication status	Published - 2015 Mar 1

Bibliographical note

Publisher Copyright:
© 2015 by ASME.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Information Systems
Instrumentation
Mechanical Engineering
Computer Science Applications

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Tips on stochastic optimal feedback control and Bayesian spatiotemporal models: Applications to robotics

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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