Acoustic Communication and Sensing for Inflatable Modular Soft Robots

TL;DR

This paper presents a scalable, low-cost acoustic communication and sensing system for inflatable modular soft robots, leveraging piezoelectric transducers that enable multiple functions and collective behaviors.

Contribution

It introduces a novel acoustic signaling approach using piezoelectric transducers integrated with soft robot skins, enhancing scalability and multi-functionality.

Findings

Transducers enable directional contact-based communication.

Acoustic signals support audible-range communication at a distance.

System demonstrates decentralized collective behaviors in multi-robot setups.

Abstract

Modular soft robots combine the strengths of two traditionally separate areas of robotics. As modular robots, they can show robustness to individual failure and reconfigurability; as soft robots, they can deform and undergo large shape changes in order to adapt to their environment, and have inherent human safety. However, for sensing and communication these robots also combine the challenges of both: they require solutions that are scalable (low cost and complexity) and efficient (low power) to enable collectives of large numbers of robots, and these solutions must also be able to interface with the high extension ratio elastic bodies of soft robots. In this work, we seek to address these challenges using acoustic signals produced by piezoelectric surface transducers that are cheap, simple, and low power, and that not only integrate with but also leverage the elastic robot skins for signal transmission. Importantly, to further increase scalability, the transducers exhibit multi-functionality made possible by a relatively flat frequency response across the audible and ultrasonic ranges. With minimal hardware, they enable directional contact-based communication, audible-range communication at a distance, and exteroceptive sensing. We demonstrate a subset of the decentralized collective behaviors these functions make possible with multi-robot hardware implementations. The use of acoustic waves in this domain is shown to provide distinct advantages over existing solutions.