ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Synthesis of workspaces of planar manipulators with arbitrary topology using shape representation and simulated annealing

Dibakar, Sen and Mruthyunjaya, TS (1999) Synthesis of workspaces of planar manipulators with arbitrary topology using shape representation and simulated annealing. In: Mechanism and Machine Theory, 34 (3). pp. 391-420.

[img] PDF
Synthesis_of_workspaces.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://dx.doi.org/10.1016/S0094-114X(98)00045-7

Abstract

This paper presents a general methodology for the synthesis of the external boundary of the workspaces of a planar manipulator with arbitrary topology. Both the desired workspace and the manipulator workspaces are identified by their boundaries and are treated as simple closed polygons. The paper introduces the concept of best match configuration and shows that the corresponding transformation can be obtained by using the concept of shape normalization available in image processing literature. Introduction of the concept of shape in workspace synthesis allows highly accurate synthesis with fewer numbers of design variables. This paper uses a new global property based vector representation for the shape of the workspaces which is computationally efficient because six out of the seven elements of this vector are obtained as a by-product of the shape normalization procedure. The synthesis of workspaces is formulated as an optimization problem where the distance between the shape vector of the desired workspace and that of the workspace of the manipulator at hand are minimized by changing the dimensional parameters of the manipulator. In view of the irregular nature of the error manifold, the statistical optimization procedure of simulated annealing has been used. A number of worked-out examples illustrate the generality and efficiency of the present method. (C) 1998 Elsevier Science Ltd. All rights reserved.

Item Type: Journal Article
Publication: Mechanism and Machine Theory
Publisher: Elsevier Science
Additional Information: Copyright of this article belongs to Elsevier Science.
Department/Centre: Division of Mechanical Sciences > Mechanical Engineering
Date Deposited: 01 Jul 2011 05:22
Last Modified: 01 Jul 2011 05:22
URI: http://eprints.iisc.ac.in/id/eprint/38835

Actions (login required)

View Item View Item