Tips on Stochastic Optimal Feedback Control and Bayesian Spatiotemporal Models: Applications to Robotics-Reference-Cited by-同舟云学术

Tips on Stochastic Optimal Feedback Control and Bayesian Spatiotemporal Models: Applications to Robotics

Published:2014-10-21 Issue:3 Volume:137 Page:
ISSN:0022-0434
Container-title:Journal of Dynamic Systems, Measurement, and Control
language:en
Short-container-title:

Author:

Choi Jongeun¹,Milutinović Dejan²

Affiliation:

1. Associate Professor Mem. ASME Department of Mechanical Engineering, Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48864 e-mail:

2. Associate Professor Mem. ASME Computer Engineering Department, University of California, Santa Cruz, Santa Cruz, CA 95064 e-mail:

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.

Publisher

ASME International

Subject

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

Link

http://asmedigitalcollection.asme.org/dynamicsystems/article-pdf/doi/10.1115/1.4028642/6118162/ds_137_03_030801.pdf

Reference60 articles.

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