Researchers Develop Advanced 3D Printer Using Computer Vision

The new system can print with a wider range of materials and is significantly faster than comparable systems, opening up possibilities for creating complex robotic devices.

Researchers from MIT, ETH Zurich, and MIT spinout Inkbit have developed a 3D inkjet printing system that uses computer vision to automatically adjust the amount of resin each nozzle deposits in real-time, expanding the range of materials that can be used.
The new 3D printer does not require mechanical parts to smooth the resin, allowing it to work with materials that cure more slowly than traditional acrylates used in 3D printing, such as thiol-based materials which offer greater elasticity, durability, and longevity.
The printer's automatic system makes adjustments without stopping or slowing the printing process, making it about 660 times faster than a comparable 3D inkjet printing system.
Using this technology, the researchers were able to create complex robotic devices that combine soft and rigid materials, including a completely 3D-printed robotic gripper shaped like a human hand, controlled by a set of reinforced yet flexible tendons.
The researchers plan to explore new application areas, such as printing customizable medical devices, semiconductor polishing pads, and even more complex robots.