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Open AccessJournal ArticleDOI

A comparison of classical and learning controllers

Joseph Sun de la Cruz, +2 more
- 01 Jan 2011 - 
- Vol. 44, Iss: 1, pp 1102-1107
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This article is published in IFAC Proceedings Volumes.The article was published on 2011-01-01 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Open-loop controller & Control theory.

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Citations
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Journal ArticleDOI

Modelling and Control of Robot Manipulators

TL;DR: In this article, the authors tried to read modelling and control of robot manipulators as one of the reading material to finish quickly, and they found that reading book can be a great choice when having no friends and activities.
Proceedings ArticleDOI

Online learning of inverse dynamics via Gaussian Process Regression

TL;DR: The proposed approach for online learning of the inverse dynamics model using Gaussian Process Regression is compared to existing learning and fixed control algorithms and shown to be capable of fast initialization and learning rate.
Journal ArticleDOI

On-line Dynamic Model Learning for Manipulator Control

TL;DR: The proposed approach for online learning of the dynamic model of a robot manipulator is tested on an industrial robot, and shown to outperform independent joint and fixed model-based control.
Proceedings ArticleDOI

Accelerating Model Learning with Inter-Robot Knowledge Transfer

TL;DR: This work proposes a scheme for collecting a sample of correspondences from the robots for training transfer models, and demonstrates the benefit of knowledge transfer in accelerating online learning of the inverse dynamics model between several robots, including between a low-cost Interbotix PhantomX Pincher arm and a more expensive and relatively heavier Kuka youBot arm.
References
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Proceedings ArticleDOI

Adaptive motion control of rigid robots: a tutorial

TL;DR: The intention is to lend some perspective to the growing list of adaptive control results for manipulators by providing a unified framework for comparison of those adaptive control algorithms which have been shown to be globally convergent.
Journal ArticleDOI

Incremental Online Learning in High Dimensions

TL;DR: Locally weighted projection regression is the first truly incremental spatially localized learning method that can successfully and efficiently operate in very high-dimensional spaces.
Journal ArticleDOI

Modelling and Control of Robot Manipulators

TL;DR: In this article, the authors tried to read modelling and control of robot manipulators as one of the reading material to finish quickly, and they found that reading book can be a great choice when having no friends and activities.
Journal ArticleDOI

Operational Space Control: A Theoretical and Empirical Comparison

TL;DR: An extensive empirical results demonstrate that one of the simplified acceleration-based approaches can be advantageous in terms of task performance, ease of parameter tuning, and general robustness and compliance in the face of inevitable modeling errors.
Related Papers (5)
Frequently Asked Questions (2)
Q1. What have the authors stated for future works in "A comparison of classical and learning controllers" ?

Future studies will involve experimental validation on physical robots as well as incorporating a-priori knowledge of the dynamic model of the system to improve performance of learning methods outside of the trained regions. 

This paper focuses on evaluating Locally Weighted Projection Regression ( LWPR ) as an alternative control method to traditional model-based control schemes.