Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions

ORIGINAL SOURCE
Originally published in Multidisciplinary Journal of Science and Technology; Vol. 3 No. 4 (2023): Multidisciplinary Journal of Science and Technology; 193-199.

Kateryna, Stetsenko and Vladyslav, Yevsieiev and Svitlana, Maksymova (2023) Exploring BEAM Robotics for Adaptive and Energy-Efficient Solutions. Multidisciplinary Journal of Science and Technology; Vol. 3 No. 4 (2023): Multidisciplinary Journal of Science and Technology; 193-199.

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Abstract

In the rapidly evolving landscape of robotics, engineers and roboticists continually strive to develop intelligent robots capable of versatile tasks. BEAM robots represent a unique class designed with inspiration from biological principles of artificial intelligence. This innovative approach seeks to emulate the functionality of biological organisms, differentiating itself by eschewing microcontrollers and software in favor of simple electrical circuits. The BEAM philosophy centers around crafting uncomplicated mechanisms to address intricate problems, resulting in robots with distinct advantages over their traditional counterparts.  This paper explores the ongoing developments in BEAM robots, emphasizing their energy-efficient nature, minimalist design, and adaptability to the environment. Notably, some BEAM robots exhibit self-organization, demonstrating the potential for collaborative problem-solving without centralized control. The practical implementation of BEAM robotics involves careful component selection. The schematic diagram illustrates the assembly of a BEAM robot, emphasizing the importance of mechanical design to ensure autonomy. Looking ahead, the paper outlines future enhancements for BEAM robots, including the implementation of an energy analysis system. This system will enable the robot to autonomously transition into a sleep mode during periods of insufficient energy, contributing to prolonged autonomy in varying environmental conditions.

Item Type: Article
Additional Information: Imported from Multidisciplinary Journal of Science and Technology
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 22 Sep 2026 22:35
Last Modified: 22 Sep 2026 22:35
URI: https://universalpublishings.uz/id/eprint/4829

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