Researchers at Southern Methodist University Develop Magnetic System for Controlling Microrobots
Researchers from Southern Methodist University have made significant strides in robotics by developing a new magnetic system that allows for the control of microrobots without the need for constant position monitoring. This innovation could prove to be a breakthrough in environments where visibility is limited, such as in medical or industrial settings.
Researchers from Southern Methodist University have made significant strides in robotics by developing a new magnetic system that allows for the control of microrobots without the need for constant position monitoring. This innovation could prove to be a breakthrough in environments where visibility is limited, such as in medical or industrial settings.
According to information published in Interesting Engineering, traditional methods of controlling microrobots typically require the use of cameras or other visualization systems that enable real-time monitoring of their movement. However, such approaches can be slow, expensive, or unreliable, especially in situations where visibility is challenging, such as inside the human body or within pipelines.
The new system developed by the researchers eliminates this dependence on visualization. It creates a uniform magnetic field that equally affects the microrobots throughout the entire workspace, regardless of their location. This significantly simplifies the control process, making it more reliable and efficient.
One of the system's developers, Sanwon Lee, noted that in real-world conditions, visualization systems are often complex, slow, costly, or unreliable. He emphasized that eliminating the need for constant tracking makes the system simpler and suitable for use in environments where visibility is poor, while still maintaining the ability to accurately control the movement of microrobots.
The system operates without the need for constant adjustments to the strength based on the robot's position. Instead, it provides a consistent magnetic action across the entire field, eliminating the need for continuous updates on coordinates. This greatly simplifies the management of microrobots.
The installation consists of six coils arranged in pairs along three axes—X, Y, and Z. These coils create a magnetic field in three dimensions, allowing for precise control over the movement of microrobots. To ensure the accuracy of the system's operation, the researchers calibrated it using a triaxial magnetometer.
To avoid errors related to the inaccurate positioning of components, the scientists applied a Tikhonov regularization mathematical method, which helps calculate the current for each coil correctly. This approach has achieved high precision in controlling microrobots.
The performance of the new system was tested both in simulations and during real experiments. The results showed a 99% match between the predicted and actual behavior of the magnetic field, confirming the reliability of the development. This system has been named the triaxial Helmholtz coil system.
Before testing the behavior of the system, it was modeled using COMSOL software and then verified in practice. The combination of modeling and experiments demonstrated that the system can stably control microrobots without constant feedback from cameras.
The ability to control microrobots without visual monitoring opens new prospects in medicine and industry. In particular, such robots could be used for delivering medications to specific areas, performing minimally invasive procedures, or conducting diagnostics in hard-to-reach places.
Moreover, the system can operate in conditions where cameras are ineffective, such as in opaque liquids or narrow confined spaces. This makes it extremely valuable for a wide range of applications.
Currently, researchers are actively seeking alternative methods for determining the position of microrobots without the use of cameras, which could further enhance control in complex conditions. This work promises new opportunities for the advancement of technologies in the field of robotics.