Sciweavers

130 search results - page 7 / 26
» Mobile robot learning by evolution of fuzzy controller
Sort
View
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
14 years 27 days ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
CORR
2004
Springer
122views Education» more  CORR 2004»
13 years 7 months ago
Evolution of a Subsumption Architecture Neurocontroller
An approach to robotics called layered evolution and merging features from the subsumption architecture into evolutionary robotics is presented, and its advantages are discussed. T...
Julian Togelius
IJACTAICIT
2010
237views more  IJACTAICIT 2010»
13 years 4 months ago
Path Planning of Mobile Robot Based on Modification of Vector Field Histogram using Neuro-Fuzzy Algorithm
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neu...
Ali H. Hamad, Fatima B. Ibrahim
ICRA
2000
IEEE
101views Robotics» more  ICRA 2000»
13 years 12 months ago
Towards Programming Tools for Robots that Integrate Probabilistic Computation and Learning
This paper describes a programming language extension of C++, called CES, specifically targeted towards mobile robot control. CES’s design is motivated by a recent series of su...
Sebastian Thrun
ICRA
2007
IEEE
147views Robotics» more  ICRA 2007»
14 years 1 months ago
Neural Reinforcement Learning Controllers for a Real Robot Application
— Accurate and fast control of wheel speeds in the presence of noise and nonlinearities is one of the crucial requirements for building fast mobile robots, as they are required i...
Roland Hafner, Martin Riedmiller