Newsrss5Silicone & Medical

Researchers automate the fabrication of fiber and silicone composite structures for soft robotics

Singapore – Researchers from the Singapore University of Technology and Design (SUTD) have developed novel techniques, known as automated fiber embedding (AFE), to produce complex fiber and silicone composite structures for soft robotics applications. Their work was published in IEEE Robotics and Automation Letters.

Many soft robot components, including sensors and actuators, utilize embedded continuous fibers within elastomeric substrates to achieve various functionalities. However, manual embedding of continuous fibers in soft substrates is challenging due to the complexities involved in handling precise layering, and retaining of the fibers in the patterned positions which are prone to inconsistencies.

In contrast, the AFE approaches developed by the research team led by Assistant Professor Pablo Valdivia y Alvarado enabled high precision fabrication of complex layered composites without manual user intervention, thus significantly augmenting the range of fabrication possibilities, while saving time and labor.

In the study, three different approaches for automated layering and embedding of fibers inside silicone elastomers were discussed. To demonstrate the versatility of the techniques, several soft robotic applications ranging from inflatable actuators to inductive charging coils were also presented. Embedded fiber patterns enabled by the AFE fabrication processes were used to control color change, tailor structural and morphological properties, activate thermal inputs and enable electrical properties in soft robotic structures. Additionally, combinations of the AFE methods were demonstrated for the autonomous fabrication of several soft mechatronic components.

“Our work demonstrates the development of a family of fabrication processes that can be used to tailor complex fiber layouts within soft composites. This will pave the way for various novel applications in soft robotics including soft sensors and soft communication devices,” said principal investigator, Assistant Professor Pablo Valdivia y Alvarado from SUTD.