🤖 AI Summary
This work addresses the challenges of deploying vine-like robots in free space, which are hindered by low axial stiffness, weak load-bearing capacity, and an inability to maintain curved configurations. To overcome these limitations, the authors propose a reconfigurable pneumatic joint (RPJ) architecture featuring symmetrically arranged pneumatic chamber modules distributed along the robot’s body. This design enables localized, pressure-tunable stiffness and shape locking without impeding continuous growth, while integrating tendon-driven steering and a compact aerial inversion base. Notably, the approach decouples global compliance from local rigidity for the first time in a continuously growing soft robot. Experimental results demonstrate that the system can execute inversions under low pressure, significantly suppress gravity-induced deflection, support cascaded retraction, and reliably transport payloads up to 200 grams.
📝 Abstract
Vine-inspired robots achieve large workspace coverage through tip eversion, enabling safe navigation in confined and cluttered environments. However, their deployment in free space is fundamentally limited by low axial stiffness, poor load-bearing capacity, and the inability to retain shape during and after steering. In this work, we propose a reconfigurable pneumatic joint (RPJ) architecture that introduces discrete, pressure-tunable stiffness along the robot body without compromising continuous growth. Each RPJ module comprises symmetrically distributed pneumatic chambers that locally increase bending stiffness when pressurized, enabling decoupling between global compliance and localized rigidity. We integrate the RPJs into a soft growing robot with tendon-driven steering and develop a compact base station for mid-air eversion. System characterization and experimental validation demonstrate moderate pressure requirements for eversion, as well as comparable localized stiffening and steering performance to layer-jamming mechanisms. Demonstrations further show that the proposed robot achieves improved shape retention during bending, reduced gravitational deflection under load, cascading retraction, and reliable payload transport up to 202 g in free space. The RPJ mechanism establishes a practical pathway toward structurally adaptive vine robots for manipulation-oriented tasks such as object sorting and adaptive exploration in unconstrained environments.