A Reconfigurable Pneumatic Joint Enabling Localized Selective Stiffening and Shape Locking in Vine-Inspired Robots
Ayodele James Oyejide, Ustaz A. Yaqub, Samir Erturk, Eray A. Baran, Fabio Stroppa
TLDR
This paper introduces a reconfigurable pneumatic joint (RPJ) for vine-inspired robots, enabling localized stiffening and shape locking to improve free-space performance.
Key contributions
- Introduces Reconfigurable Pneumatic Joint (RPJ) for localized, pressure-tunable stiffness in vine robots.
- Decouples global compliance from localized rigidity, allowing continuous growth in vine-inspired robots.
- Integrates RPJs into a soft growing robot with tendon-driven steering for mid-air eversion.
- Demonstrates improved shape retention, reduced gravitational deflection, and reliable 202g payload transport.
Why it matters
Vine-inspired robots are typically limited by low stiffness and poor load-bearing capacity in free space. This work overcomes these fundamental limitations by introducing a novel reconfigurable joint, enabling robust manipulation. It establishes a practical pathway for adaptive vine robots in tasks like object sorting and exploration.
Original 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.
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