(Enter summary)
Abstract: We consider the problem of determining robot manipulation
plans when sensing and control uncertainties are
specified as conditional probability densities. Traditional
approaches are usually based on worst-case error analysis
in a methodology known as preimage backchaining.
We have developed a general framework for determining
sensor-based robot plans by blending ideas from stochastic
optimal control and dynamic game theory with traditional
preimage backchaining concepts. We argue that
the... (Update)
Cited by: More
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BibTeX entry: (Update)
S. M. LaValle and S. A. Hutchinson. An objective-based stochastic framework for manipulation planning. In Proc. IEEE/RSJ/GI Int'l Conf. on Intelligent Robots and Systems, pages 1772--1779, September 1994. http://citeseer.ist.psu.edu/lavalle94objectivebased.html More
@misc{ lavalle94objectivebased,
author = "S. LaValle and S. Hutchinson",
title = "An objective-based stochastic framework for manipulation planning",
text = "S. M. LaValle and S. A. Hutchinson. An objective-based stochastic framework
for manipulation planning. In Proc. IEEE/RSJ/GI Int'l Conf. on Intelligent
Robots and Systems, pages 1772--1779, September 1994.",
year = "1994",
url = "citeseer.ist.psu.edu/lavalle94objectivebased.html" }
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