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Recent Advances in Electrical & Electronic Engineering

Author(s): Rujeko Masike, Karamjit Kaur*, Rajesh Arora and Somalapura Nagappa Shridhara

DOI: 10.2174/2352096516666230427141327

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Optimization of Holding Force for a Climbing Robot Based on a Differential Evolutionary Algorithm

Page: [54 - 59] Pages: 6

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Abstract

Background: The advancements in robotic technology have completely revolutionized day-to-day life. In industrial applications, the implementation of robotics is quite advantageous as it may help in performing dangerous tasks like climbing high walls, working in a high-temperature environment, high radiation exposure conditions etc.

Methods: This paper presents the design and development of a wall-climbing robot for dam wall inspection using an adaptive aerodynamic adhesion technique. The optimization of a robot design is done using a differential evolutionary algorithm.

Results: In the proposed model, the principle of Bernoulli adhesion is used for designing the suction pad. The optimization of various variables is done using a differential evolutionary algorithm to improve the efficiency and effectiveness of the wall climbing robot adhesion.

Conclusion: The results of the proposed system show that the approach can find an optimal holding force and can be effectively used for applications like dam wall climbing for inspection.

Keywords: Bernoulli pad, wall-climbing robot, evolution algorithms, adaptive holding force, dynamic variations, variable optimization, climbing robot.

Graphical Abstract

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