Harnessing Nonuniform Pressure Distributions in Soft Robotic Actuators. (20th January 2023)

• Record Type: Journal Article
• Authors: Matia, Yoav; Kaiser, Gregory H.; Shepherd, Robert F.; Gat, Amir D.; Lazarus, Nathan; Petersen, Kirstin H.
• Is Part Of: Advanced intelligent systems. Volume 5:Number 2(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2023-01-20
• Subjects: fluid-driven elastomer actuators -- morphological intelligence -- soft robotics; Artificial intelligence -- Periodicals; Robotics -- Periodicals; Control theory -- Periodicals; 006.3
• DOI: 10.1002/aisy.202200330
• Languages: English
• ISSNs: 2640-4567

Abstract

Abstract : Herein, complex motion in soft, fluid‐driven actuators composed of elastomer bladders arranged around a neutral plane and connected by slender tubes is demonstrated. Rather than relying on complex feedback control or multiple inputs, the motion is generated with a single pressure input, leveraging viscous flows within the actuator to produce nonuniform pressure between bladders. Using an accurate predictive model coupling with a large deformation Cosserat rod model and low‐Reynolds‐number flow, all dominating dynamic interactions including extension and curvature are captured with two governing equations. Given insights from this model, five design elements are described and demonstrated in practice. By choosing the relative timescales between the solid, fluid, and input pressure cycles, the tip of the actuator can obtain almost any desired trajectory and can be placed anywhere temporarily within its 2D workspace. Finally, the benefits of viscous‐driven soft actuators are showcased in a six‐legged untethered robot able to walk 0.05 body lengths per second. The foundation is laid for a new class of morphologically intelligent, soft robotic actuators that enables complex deformations and multifunctionality without explicit drivers; whereby generating nonuniform pressure distributions, their infinite degrees of freedom can be exploited. Abstract : Through theory and experiments, a new class of morphologically intelligent, soft robotic actuators that can achieve complex deformations without explicit drivers is introduced. Specifically, spatiotemporal motion cycles in soft, fluid‐driven actuators with a single pressure inlet, leveraging viscous flows within the actuator to produce nonuniform pressures, are demonstrated. This contrasts with state‐of‐the‐art soft robots, which predominantly operate with uniform pressures.