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Robotics 2017, 6(4), 39; doi:10.3390/robotics6040039

A Review on Energy-Saving Optimization Methods for Robotic and Automatic Systems

Faculty of Science and Technology, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
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Received: 20 October 2017 / Revised: 30 November 2017 / Accepted: 4 December 2017 / Published: 7 December 2017
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Abstract

In the last decades, increasing energy prices and growing environmental awareness have driven engineers and scientists to find new solutions for reducing energy consumption in manufacturing. Although many processes of a high energy consumption (e.g., chemical, heating, etc.) are considered to have reached high levels of efficiency, this is not the case for many other industrial manufacturing activities. Indeed, this is the case for robotic and automatic systems, for which, in the past, the minimization of energy demand was not considered a design objective. The proper design and operation of industrial robots and automation systems represent a great opportunity for reducing energy consumption in the industry, for example, by the substitution with more efficient systems and the energy optimization of operation. This review paper classifies and analyses several methodologies and technologies that have been developed with the aim of providing a reference of existing methods, techniques and technologies for enhancing the energy performance of industrial robotic and mechatronic systems. Hardware and software methods, including several subcategories, are considered and compared, and emerging ideas and possible future perspectives are discussed. View Full-Text
Keywords: energy savings; robotic systems; system enhancement; trajectory optimization; operations scheduling; energy recovery; natural motion. energy savings; robotic systems; system enhancement; trajectory optimization; operations scheduling; energy recovery; natural motion.
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Carabin, G.; Wehrle, E.; Vidoni, R. A Review on Energy-Saving Optimization Methods for Robotic and Automatic Systems. Robotics 2017, 6, 39.

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