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ICRA
1999
IEEE
155views Robotics» more  ICRA 1999»
15 years 6 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...
Owen T. Carmichael, Martial Hebert
ECP
1999
Springer
190views Robotics» more  ECP 1999»
15 years 6 months ago
Probabilistic Planning in the Graphplan Framework
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Avrim Blum, John Langford
DCC
2008
IEEE
16 years 1 months ago
Probabilistic algorithm for finding roots of linearized polynomials
A probabilistic algorithm is presented for finding a basis of the root space of a linearized polynomial L(x) = t i=0 Lixqi over Fqn . The expected time complexity of the presented ...
Vitaly Skachek, Ron M. Roth
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 8 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
JFR
2006
140views more  JFR 2006»
15 years 1 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...