The method streamlines soft‑robotic fabrication, turning complex designs from CAD or images into functional devices without custom molds, accelerating product development in wearable, haptic and automation markets.
The new rotational multimaterial printer tackles a long‑standing bottleneck in soft‑robotics: the inability to produce arbitrarily shaped, off‑center pneumatic channels in a single build step. Traditional molding requires a new die for each geometry, and most multimaterial 3D printers cannot vary channel cross‑section or orientation along a filament. By integrating a rotating nozzle with dual‑ink extrusion, the Harvard‑Stanford team achieves continuous control over channel asymmetry, enabling designers to encode bending, twisting, and hinge functions directly into the material layout.
Beyond hardware, the researchers paired the printer with an algorithmic path‑planning workflow based on Fermat spirals. This software translates vector graphics or photographs into a single, unbroken toolpath that automatically adjusts nozzle rotation to maintain the desired channel placement. The result is a near‑plug‑and‑play pipeline: a designer uploads an image, sets pressure targets, and the system fabricates a soft‑robotic structure that morphs on demand. Demonstrations include a flower that blooms under air pressure and a human‑hand gripper that independently curls each digit to grasp a foam ball, showcasing the platform’s potential for custom prosthetics, adaptive wearables, and low‑cost automation.
While performance metrics are impressive—up to 103 kPa pressure, 880° angular displacement, and millinewton‑scale forces—the study also highlights durability limits. Actuators begin to lose fidelity after roughly one hundred cycles at high pressure, and rupture can occur above 86 kPa after fewer cycles. Future work will likely focus on tougher silicone elastomers and refined channel geometries to extend fatigue life. Nonetheless, the ability to rapidly prototype complex pneumatic soft‑robots positions this technology as a catalyst for broader adoption across robotics, biomedical devices, and smart manufacturing.
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