IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Optimal Design of Three-Link Planar Manipulators Using Grashof's Criterion

Optimal Design of Three-Link Planar Manipulators Using Grashof's Criterion
View Sample PDF
Author(s): Sarosh H. Patel (RISC Laboratory, University of Bridgeport, USA)and Tarek Sobh (RISC Laboratory, University of Bridgeport, USA)
Copyright: 2014
Pages: 13
Source title: Robotics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-4607-0.ch029

Purchase

View Optimal Design of Three-Link Planar Manipulators Using Grashof's Criterion on the publisher's website for pricing and purchasing information.

Abstract

The design of robotic manipulators is dictated by a set of pre-determined task descriptions and performance parameters. These performance parameters are often defined in terms of workspace dexterity, manipulability, and accuracy. Many serial manipulator applications require that the manipulator have full dexterity about a work piece or a pre-defined trajectory, that is, to approach the given point within the workspace with all possible orientations about that point. Grashof's criterion defines the mobility of four-link closed chain mechanisms in relation to its link lengths. A simple assumption can convert a three-link serial manipulator into a four-link closed chain so that its mobility can be studied using Grashof's criterion. With the help of Grashof's criterion, it is possible not only to predict and simulate the mobility of a manipulator during its design, but also to map and identify the fully-dexterous regions within its workspace. Mapping of the dexterous workspace is helpful in efficient task placement and path planning. Next, the authors propose a simple algorithm using Grashof's criterion for determining the optimal link lengths of a three-link manipulator, in order to achieve full dexterity at the desired regions of the workspace. Finally, the authors test the generated design by applying joint angle limitations.

Related Content

Rashmi Rani Samantaray, Zahira Tabassum, Abdul Azeez. © 2024. 32 pages.
Sanjana Prasad, Deepashree Rajendra Prasad. © 2024. 25 pages.
Deepak Varadam, Sahana P. Shankar, Aryan Bharadwaj, Tanvi Saxena, Sarthak Agrawal, Shraddha Dayananda. © 2024. 24 pages.
Tarun Kumar Vashishth, Vikas Sharma, Kewal Krishan Sharma, Bhupendra Kumar, Sachin Chaudhary, Rajneesh Panwar. © 2024. 29 pages.
Mrutyunjaya S. Hiremath, Rajashekhar C. Biradar. © 2024. 30 pages.
C. L. Chayalakshmi, Mahabaleshwar S. Kakkasageri, Rajani S. Pujar, Nayana Hegde. © 2024. 30 pages.
Amit Kumar Tyagi. © 2024. 29 pages.
Body Bottom