Reconfigurable Auxetic Devices (RADs) for Robotic Surface Manipulation
Jacob Miske, Ahyan Maya, Ahnaf Inkiad, Jeffrey Ian Lipton
TL;DR
The paper tackles the challenge of creating adaptive robotic surfaces that conform to varying geometries by introducing Reconfigurable Auxetic Devices (RADs), a lattice of rotating-square auxetic cells connected by controlled backlash and actuated with embedded servos. A simple ReLU-like intercell coupling model ties joint angles to local dilation, enabling regionally tunable Poisson's ratios and 2D surface conformity. The authors demonstrate fabrication of PLA RAD lattices, develop a 3D software model for backlash-driven morphing, and validate the approach experimentally with 3D surface scans and optical tracking, achieving close agreement (within ~12%) to predictions. This work offers a scalable, compliant method to produce conformable robotic surfaces, with potential applications in soft robotics and custom tooling, and outlines pathways to more complex convex geometries and multifunctional materials.
Abstract
Robotic surfaces traditionally use materials with a positive Poisson's ratio to push and pull on a manipulation interface. Auxetic materials with a negative Poisson's ratio may expand in multiple directions when stretched and enable conformable interfaces. Here we demonstrate reconfigurable auxetic lattices for robotic surface manipulation. Our approach enables shape control through reconfigurable locking or embedded servos that underactuate an auxetic lattice structure. Variable expansion of local lattice areas is enabled by backlash between unit cells. Demonstrations of variable surface conformity are presented with characterization metrics. Experimental results are validated against a simplified model of the system, which uses an activation function to model intercell coupling with backlash. Reconfigurable auxetic structures are shown to achieve manipulation via variable surface contraction and expansion. This structure maintains compliance with backlash in contrast with previous work on auxetics, opening new opportunities in adaptive robotic structures for surface manipulation tasks.
