ORIGINAL RESEARCH article
Front. Robot. AI
Sec. Robot Design
Volume 12 - 2025 | doi: 10.3389/frobt.2025.1695262
The Biohybrid Autonomous Robots (BAR): a feasibility of implementation
Provisionally accepted- 1Rossijskij universitet druzby narodov, Moscow, Russia
- 2Rossijskij universitet druzby narodov Medicinskij institut, Moscow, Russia
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Limited battery capacity poses a challenge for autonomous robots. We believe that instead of relying solely on electric motors and batteries, basically Conventional Autonomous Robots (CAR), one way to address this challenge may be to develop Biohybrid Autonomous Robots (BAR), based on current achievements of the field of biohybrid robotics. The BAR approach is based on the facts that fat store high amount of energy, that biological muscles generate decent force per unit of cross-sectional area and have capability for regeneration and adaptation compared to electric motors. Our calculations show that the BAR approach is up to 5.1 times more efficient in terms of the weight of energy substrate to useful energy transported than the Conventional Autonomous Robots (CAR) with mass-produced batteries in an ideal scenario. The study also presents the model for determining the point of the rational use of the BAR, taking into the account basal metabolism of living systems. The results of this study provide a preliminary basis for further research of the BAR, putting it into the context of the other possible solutions for energy autonomy problem: Generator-Powered Autonomous Robots (GPAR) and Fuell-Cell Autonomous Robots (FCAR).
Keywords: biohybrid robotics, batteries analogues, Muscles, Energy, Autonomous Robots
Received: 29 Aug 2025; Accepted: 24 Sep 2025.
Copyright: © 2025 Kuplinov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Georgiy N. Kuplinov, 1132220616@pfur.ru
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