Title
A Brief Survey On The Role Of Dimensionality Reduction In Manipulation Learning And Control
Abstract
Bio-inspired designs are motivated by efficiency, adaptability, and robustness of biological systems' dynamic behaviors in complex environment. Despite progress in design, the lack of sensorimotor and learning capabilities is the main drawback of humanlike manipulation systems. Dimensionality reduction has demonstrated in recent robotics research to solve problems that affect high degrees of freedom devices. In this letter, a survey on the role of dimensionality reduction in learning and control strategies is provided by discussing different techniques adopted for dimensionality reduction, as well as learning and control strategies built on subspaces of reduced dimension across different fully actuated and underactuated anthropomorphic designs.
Year
DOI
Venue
2018
10.1109/LRA.2018.2818933
IEEE ROBOTICS AND AUTOMATION LETTERS
Keywords
Field
DocType
Dexterous manipulation, learning and adaptive systems, motion control
Dimensionality reduction,Control engineering,Artificial intelligence,Engineering,Machine learning
Journal
Volume
Issue
ISSN
3
3
2377-3766
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Fanny Ficuciello112216.80
Pietro Falco2366.13
Sylvain Calinon31897117.63