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IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 2 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ESEC
1999
Springer
13 years 12 months ago
The CIP Method: Component- and Model-Based Construction of Embedded Systems
CIP is a model-based software development method for embedded systems. The problem of constructing an embedded system is decomposed into a functional and a connection problem. The ...
Hugo Fierz
RAS
2006
111views more  RAS 2006»
13 years 7 months ago
Planning under uncertainty using model predictive control for information gathering
This paper considers trajectory planning problems for autonomous robots in information gathering tasks. The objective of the planning is to maximize the information gathered withi...
Cindy Leung, Shoudong Huang, Ngai Ming Kwok, Gamin...
IJCINI
2007
110views more  IJCINI 2007»
13 years 7 months ago
Toward Autonomic Computing: Adaptive Neural Network for Trajectory Planning
: The theme of this issue of IJCINI is on cognitive mechanisms of autonomic computing and laws of human cooperative work organization. This editorial addresses key notions of this ...
Amar Ramdane-Cherif
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 25 days ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin