Researchers are utilizing additive manufacturing to create artificial gills for bio-hybrid robots, allowing them to extract oxygen from water.
Scientists have developed a novel application for 3D printing that enables bio-hybrid robots, referred to as 'living machines,' to breathe underwater. This breakthrough centers on the creation of artificial gills using additive manufacturing techniques. These artificial gills are designed to mimic the function of natural gills, drawing dissolved oxygen directly from the surrounding water.
The development involves integrating these 3D-printed components with biological elements, such as muscle tissue from fish. The biological component provides the motive force, enabling the artificial gill structure to pump water across its surface. This process facilitates the efficient extraction of oxygen, which can then be used to sustain the biological systems within the robot.
Previous attempts to create self-sustaining underwater robots often relied on bulky oxygen tanks or complex rebreathing systems. This new approach offers a more elegant and potentially sustainable solution by leveraging the natural environment for oxygen supply. The ability to 3D print these intricate gill structures allows for customization and optimization of their surface area and flow dynamics.
This advancement has significant implications for the field of bio-robotics and underwater exploration. It paves the way for longer-duration missions for autonomous underwater vehicles (AUVs) and opens up possibilities for studying marine ecosystems without intrusive equipment. The research signifies a step towards creating more self-sufficient and environmentally integrated robotic systems.
This development is significant as it integrates additive manufacturing with bio-hybrid systems for a critical life-support function. By enabling oxygen extraction from water, 3D-printed artificial gills reduce reliance on stored oxygen, potentially leading to lighter, more agile, and longer-endurance underwater robots. This aligns with broader AM goals of creating complex, functional components and enabling in-situ resource utilization for autonomous systems.
Edited by the news editor with AI from the original report — please refer to the original source.