Optimisation of a Multi-Functional Piezoelectric Component for a Climbing Robot

Author:

Wegert Zachary J.1ORCID,Roberts Anthony P.1ORCID,Bandyopadhyay Tirthankar2ORCID,Challis Vivien J.1ORCID

Affiliation:

1. School of Mathematical Sciences, Queensland University of Technology, 2 George Street, Brisbane, QLD 4000, Australia

2. The Robotics and Autonomous Systems Group, CSIRO, 1 Technology Ct, Pullenvale, QLD 4069, Australia

Abstract

Force sensors on climbing robots give important information to the robot control system, however, off-the-shelf sensors can be both heavy and bulky. We investigate the optimisation of a lightweight integrated force sensor made of piezoelectric material for the multi-limbed climbing robot MAGNETO. We focus on three design objectives for this piezoelectric component. The first is to develop a lightweight component with minimal compliance that can be embedded in the foot of the climbing robot. The second objective is to ensure that the component has sensing capability to replace the off-the-shelf force sensor. Finally, the component should be robust for a range of climbing configurations. To this end, we focus on a compliance minimisation problem with constrained voltage and volume fraction. We present structurally optimised designs that satisfy the three main design criteria and improve upon baseline results from a reference component. Our computational study demonstrates that the optimisation of embedded robotic components with piezoelectric sensing is worthy of future investigation.

Funder

Australian Research Council

Publisher

MDPI AG

Subject

General Materials Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Diversity‐Based Topology Optimization of Soft Robotic Grippers;Advanced Intelligent Systems;2024-01-18

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