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The potential role of renewable energy sources in robot's power system: A case study of Pakistan

Iqbal, Jamshed; Khan, Zeashan Hameed


Zeashan Hameed Khan


The domain of ‘robotics’ is undergoing a major transformation in dimension as well as scope. Recent advances in various disciplines of technology have revolutionized this domain at an incredible pace far beyond the contemporary state of the art. Highlighting the forecasted population of robots in future and the resulting demand of massive energy consumption, this review addresses the application of renewable energy sources in uninterruptible supply for robots. The study analyzes the extensive field of renewable energy technology and discovers that comparing with traditional sources; green energies like solar, wind and biological have significant potential to drive robots. Listing the world-wide achievements attained by the applications of renewable energy technology for robots, the review finally presents the subject matter in context of Pakistan. It is shown that being rich in renewable energy resources, broad possibilities for robot technologies exist here. With a discussion on challenges to exploit this potential, suggestions are outlined. It is anticipated that wider dissemination of research developments in the integration of these streams will stimulate more exchanges and collaborations among the research community and contribute to further advancements.


Iqbal, J., & Khan, Z. H. (2017). The potential role of renewable energy sources in robot's power system: A case study of Pakistan. Renewable & sustainable energy reviews, 75, 106-122.

Journal Article Type Article
Acceptance Date Nov 1, 2016
Online Publication Date Nov 10, 2016
Publication Date 2017-08
Deposit Date Jun 27, 2021
Journal Renewable and Sustainable Energy Reviews
Print ISSN 1364-0321
Electronic ISSN 1879-0690
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 75
Pages 106-122
Keywords Renewable energy applications; Energy consumption; Robot's power system
Public URL
Additional Information Copyright: © 2016 Elsevier Ltd. All rights reserved.