Investigating the Performance of Soft Robotic Adaptive Feet with Longitudinal and Transverse Arches
Anna Pace, Giorgio Grioli, Alice Ghezzi, Antonio Bicchi, Manuel G. Catalano
TL;DR
The paper addresses the problem of ground adaptation for biped robots with flat, rigid feet by extending the SoftFoot design to include a flexible transverse arch, enabling frontal-plane adaptability in addition to sagittal-plane compliance. It systematically narrows the design space to five five-module configurations (KKF, KKK, KRF, KRK, KRR) and benchmarks them against a prior SoftFoot and a fully rigid foot using benchtop tests with a robotic arm interacting with obstacle-filled plates. Results show that configurations with an elastic frontal arch and strategic rear/heel connections (notably KRK and KRF) offer superior stability and a larger stability region, especially for forefoot obstacle contact, outperforming baselines. The findings suggest two-arch soft feet can enhance robotic locomotion and prosthetic foot performance on unstructured terrains, with future work focusing on stiffness tuning and validation on real walking robots and prosthetic devices.
Abstract
Biped robots usually adopt feet with a rigid structure that simplifies walking on flat grounds and yet hinders ground adaptation in unstructured environments, thus jeopardizing stability. We recently explored in the SoftFoot the idea of adapting a robotic foot to ground irregularities along the sagittal plane. Building on the previous results, we propose in this paper a novel robotic foot able to adapt both in the sagittal and frontal planes, similarly to the human foot. It features five parallel modules with intrinsic longitudinal adaptability that can be combined in many possible designs through optional rigid or elastic connections. By following a methodological design approach, we narrow down the design space to five candidate foot designs and implement them on a modular system. Prototypes are tested experimentally via controlled application of force, through a robotic arm, onto a sensorized plate endowed with different obstacles. Their performance is compared, using also a rigid foot and the previous SoftFoot as a baseline. Analysis of footprint stability shows that the introduction of the transverse arch, by elastically connecting the five parallel modules, is advantageous for obstacle negotiation, especially when obstacles are located under the forefoot. In addition to biped robots' locomotion, this finding might also benefit lower-limb prostheses design.
