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» Mobile robot learning by evolution of fuzzy controller
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SMC
2007
IEEE
14 years 1 months ago
Enhancing embodied evolution with punctuated anytime learning
—This paper discusses a new implementation of embodied evolution that uses the concept of punctuated anytime learning to increase the complexity of tasks that the learning system...
Gary B. Parker, Gregory E. Fedynyshyn
SAB
2010
Springer
187views Optimization» more  SAB 2010»
13 years 6 months ago
Learning Robot-Environment Interaction Using Echo State Networks
Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s dem...
Mohamed Oubbati, Bahram Kord, Günther Palm
IEAAIE
1998
Springer
13 years 11 months ago
Topological Modeling with Fuzzy Petri Nets for Autonomous Mobile Robots
In this paper a novel method of reference places' detection to build topological models is described, as well as an algorithm for route planning based on Fuzzy Petri Nets. The...
Javier de Lope Asiaín, Darío Maraval...
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 23 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
ICRA
2000
IEEE
236views Robotics» more  ICRA 2000»
13 years 12 months ago
A General Learning Approach to Multisensor Based Control using Statistic Indices
We propose a concept for integrating multiple sensors in real-time robot control. To increase the controller robustness under diverse uncertainties, the robot systematically gener...
Yorck von Collani, Markus Ferch, Jianwei Zhang, Al...