๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Learning feedforward controller for a mobile robot vehicle

โœ Scribed by J.G. Starrenburg; W.T.C. van Luenen; W. Oelen; J. van Amerongen

Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
852 KB
Volume
4
Category
Article
ISSN
0967-0661

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Learning feedforward controller for a mo
Learning feedforward controller for a mobile robot vehicle
โœ J.G. Starrenburg; W.T.C. van Luenen; W. Oelen; J. van Amerongen ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 852 KB

This paper describes the design and realisation of an on-line learning posetracking controller for a three-wheeled mobile robot vehicle. The controller consists of two components. The first is a constant-gain feedback component, designed on the basis of a second-order model. The second is a learning

A reinforcement learning with evolutiona
A reinforcement learning with evolutionary state recruitment strategy for autonomous mobile robots control
โœ Toshiyuki Kondo; Koji Ito ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 413 KB

In recent robotics fields, much attention has been focused on utilizing reinforcement learning (RL) for designing robot controllers, since environments where the robots will be situated in should be unpredictable for human designers in advance. However there exist some difficulties. One of them is w

Learning locomotion reflexes: A self-sup
Learning locomotion reflexes: A self-supervised neural system for a mobile robot
โœ Artur Dubrawski; James L. Crowley ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 699 KB

This article is concerned with an artificial neural system for a mobile robot reactive navigation in an unknown, cluttered environment. Reactive navigation is a process of immediately choosing locomotion actions in response to measured spatial situations, while no planning occurs. A task of a presen