Amit Shishodia,
- Student, Department of Mechanical Engineering, Noida International University, Noida, Gautam Buddha Nagar, Uttar Pradesh, India
Abstract
Biohybrid machines are an innovative frontier at the intersection of biological systems and robotics. This research field explores the integration of living organisms with machines, combining the advantageous characteristics of both synthetic materials and biological components. Through the integration of organic cells, tissues, and even entire organisms with robotics, biohybrid machines possess unique capabilities such as self-healing, adaptability, and energy efficiency, making them more suitable for tasks that require flexibility and advanced problem-solving capabilities. These machines harness the best of biological and technological properties, providing the possibility for robots to move, sense, and react to their environment more effectively than their purely synthetic counterparts. Recent developments in bioengineering, robotics, and materials science have allowed the creation of biohybrids that function autonomously and efficiently in real-time environments. Their potential applications span across various sectors, from medical prosthetics and rehabilitation devices to environmental monitoring, space exploration, and disaster response. Despite their promise, challenges remain in areas such as bio-compatibility, sustainability, and ethical concerns related to the use of living components in machines. This study delves into the advancements in biohybrids, exploring their technological foundations, applications, ethical implications, and the future directions of this interdisciplinary field. The study emphasizes the significance of biohybrids in achieving truly adaptive, responsive, and sustainable machines that can co-evolve alongside biological systems.
Keywords: Biohybrid machines, soft robotics, biological sensors, autonomous control systems, artificial intelligence
[This article belongs to Trends in Machine design ]
Amit Shishodia. Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function. Trends in Machine design. 2025; 12(01):30-37.
Amit Shishodia. Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function. Trends in Machine design. 2025; 12(01):30-37. Available from: https://journals.stmjournals.com/tmd/article=2025/view=209445
References
- Marx C, Holle Biohybrid Robotics: Integrating Organic Systems for Improved Performance. Bioinspired Robotics Journal. 2023; 12(2): 105–115. Springer Nature.
- Smith AL, Wang Biohybrid Systems and Energy Harvesting: Current Trends and Future Perspectives. Journal of Robotics and Biomimicry. 2022; 18(3): 88–102. Elsevier.
- Wallin TJ, Pikul J, Shepherd RF. 3D printing of soft robotic systems. Nat Rev Mater. 2018;3:84–100. doi: 10.1038/s41578-018-0002-2.
- Takahashi S, Kobayashi Integration of Biological Sensors in Soft Biohybrid Robots for Environmental Sensing. Nat Commun. 2021; 12(1): 1503–1512. Nature Publishing Group.
- Nguyen LT, Chan Plant-based Sensing in Biohybrids: Current Approaches and Future Potential. Journal of Plant Robotics. 2019; 5(2): 45–59. Taylor & Francis.
- Robinson M, Kumar Biomimetic Materials in Biohybrids for Autonomous Robots. Journal of Bioinspired and Biomimetic Materials. 2020; 8(4): 112–120. Elsevier.
- Zhang F, Wang The Role of Microbial Sensors in Biohybrids: Applications and Developments. Biosens Bioelectron. 2021; 173: 112836. Elsevier.
- Zhao T, Zhang Biohybrid Systems for Autonomous Robotics: Leveraging Biological and Artificial Integration. Journal of Autonomous Robotics Systems. 2022; 29(3): 233–245. Springer.
- Kobayashi R, Tanaka Energy Harvesting for Biohybrid Robots: Integration of Biological Systems with Artificial Materials. IEEE Trans Robot. 2018; 34(9): 1324–1336. IEEE.
- Lee JH, Nam J Challenges and Future Directions in Biohybrids: Towards Fully Autonomous Systems. Robot Auton Syst. 2021; 143: 103875. Elsevier.
Trends in Machine design
| Volume | 12 |
| Issue | 01 |
| Received | 14/02/2025 |
| Accepted | 17/02/2025 |
| Published | 28/02/2025 |
| Publication Time | 14 Days |
