🤖 AI Summary
Pneumatic soft robotic arms for 3D printing suffer from low structural stiffness, making it challenging to simultaneously achieve large deformability and high rigidity. Method: This work proposes a monolithic, multi-material 3D-printed pneumatic soft arm that integrates, for the first time, a bowl-shaped bead-chain tendon-driven spine with a granular jamming mechanism within a corrugated tube architecture. Stiffness is cooperatively modulated via pneumatic actuation and particle jamming, enabling wide-range controllable bending while significantly enhancing rigidity. Contribution/Results: We formulate an optimal jamming strategy balancing motion fidelity and stiffness, experimentally validated to increase bending stiffness by up to 2.3× under jammed conditions—while retaining precise ±90° bending and functional tasks (e.g., switch toggling). By eliminating reliance on post-fabrication assembly or reinforcement, this design advances high-performance soft actuators toward fully additive, monolithic, and intelligent manufacturing paradigms.
📝 Abstract
3D-printed bellow soft pneumatic arms are widely adopted for their flexible design, ease of fabrication, and large deformation capabilities. However, their low stiffness limits their real-world applications. Although several methods exist to enhance the stiffness of soft actuators, many involve complex manufacturing processes not in line with modern goals of monolithic and automated additive manufacturing. With its simplicity, bead-jamming represents a simple and effective solution to these challenges. This work introduces a method for monolithic printing of a bellow soft pneumatic arm, integrating a tendon-driven central spine of bowl-shaped beads. We experimentally characterized the arm's range of motion in both unjammed and jammed states, as well as its stiffness under various actuation and jamming conditions. As a result, we provide an optimal jamming policy as a trade-off between preserving the range of motion and maximizing stiffness. The proposed design was further demonstrated in a switch-toggling task, showing its potential for practical applications.