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Innovative Energy Harvesting Techniques for Robotics: Enhancing Autonomous Systems With IoT
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Author(s): Anurag Vijay Agrawal (Department of Electronics and Communication Engineering, Bhagwant Institute of Technology, Muzaffarnagar, India), Inamul Hasan (Department of Aerospace Engineering, Ramaiah Institute of Technology, Bengaluru, India), G. Karthika (Department of Electronics and Communication Engineering, Saveetha Engineering College, Chennai, India), S. Metilda Florence (Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, India), C. Fancy (Department of Networking and Communications, SRM Institute of Science and Technology, Kattankulathur, India)and C. R. Rene Robin (Department of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, India)
Copyright: 2025
Pages: 34
Source title:
Enhancing Data-Driven Electronics Through IoT
Source Author(s)/Editor(s): Bhagwan Das (Centre for Artificial Intelligence Research and Optimization (AIRO), Torrens University Australia, Australia), Muhammad Zakir Shaikh (Universidad de Málaga, Spain), Samreen Hussain (Dawood University of Engineering and Technology, Pakistan)and Enrique Nava Baro (Universidad de Málaga, Spain)
DOI: 10.4018/979-8-3693-5448-3.ch013
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Abstract
Apart from powering robots with innovative energy harvesting, the domain of robotics relies on such integration to bring about autonomy and efficiency into systems. This chapter describes state-of-the-art energy harvesting techniques designed for use in robotics, focusing particularly on the aspects of sustainability and lifetime of operation. Some of the techniques considered in this work are kinetic energy recovery, thermoelectric generators, and solar cells, which are analyzed with regard to their potential applications for autonomous power supply. Such synergy between energy harvesting and the Internet of Things is also discussed, showing how IoT connectivity can make its contribution to the optimality of energy management and distribution within robotic networks. The chapter covers technical and practical aspects of how advancements such as this can drive the future of robotics toward more self-sufficient and intelligent systems.
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