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多模态软阀使软机器人具备物理响应能力,以实现先发制人的弹性。

Multimodal soft valve enables physical responsiveness for preemptive resilience of soft robots.

作者信息

Pontin Marco, Damian Dana D

机构信息

Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.

Sheffield Robotics, University of Sheffield, Sheffield, UK.

出版信息

Sci Robot. 2024 Jul 24;9(92):eadk9978. doi: 10.1126/scirobotics.adk9978.

Abstract

Resilience is crucial for the self-preservation of biological systems: Humans recover from wounds thanks to an immune system that autonomously enacts a multistage response to promote healing. Similar passive mechanisms can enable pneumatic soft robots to overcome common faults such as bursts originating from punctures or overpressurization. Recent technological advancements, ranging from fault-tolerant controllers for robot reconfigurability to self-healing materials, have paved the way for robot resilience. However, these techniques require powerful processors and large datasets or external hardware. How to extend the operational life span of damaged soft robots with minimal computational and physical resources remains unclear. In this study, we demonstrated a multimodal pneumatic soft valve capable of passive resilient reactions, triggered by faults, to prevent or isolate damage in soft robots. In its forward operation mode, the valve, requiring a single supply pressure, isolated punctured soft inflatable elements from the rest of the soft robot in as fast as 21 milliseconds. In its reverse operation mode, the valve can passively protect robots against overpressurization caused by external disturbances, avoiding plastic deformations and bursts. Furthermore, the two modes combined enabled the creation of an endogenously controlled valve capable of autonomous burst isolation. We demonstrated the passive and quick response and the possibility of monolithic integration of the soft valve in grippers and crawling robots. The approach proposed in this study provides a distributed small-footprint alternative to controller-based resilience and is expected to help soft robots achieve uninterrupted long-lasting operation.

摘要

弹性对于生物系统的自我保护至关重要

人类能够从伤口中恢复,这得益于免疫系统会自主启动多阶段反应来促进愈合。类似的被动机制可使气动软体机器人克服常见故障,如因穿刺或过压导致的爆裂。从用于机器人可重构性的容错控制器到自愈材料,最近的技术进步为机器人的弹性发展铺平了道路。然而,这些技术需要强大的处理器、大量数据集或外部硬件。如何用最少的计算和物理资源延长受损软体机器人的使用寿命仍不明确。在本研究中,我们展示了一种多模态气动软阀,它能够对故障触发被动弹性反应,以防止或隔离软体机器人中的损坏。在其正向操作模式下,该阀只需单一供应压力,能在最快21毫秒内将刺破的软充气元件与软体机器人的其余部分隔离开来。在其反向操作模式下,该阀可被动保护机器人免受外部干扰引起的过压影响,避免塑性变形和爆裂。此外,这两种模式相结合可创建一个能够自主进行爆裂隔离的内源性控制阀。我们展示了软阀的被动快速响应以及将其单片集成到夹具和爬行机器人中的可能性。本研究中提出的方法为基于控制器的弹性提供了一种分布式、小尺寸的替代方案,有望帮助软体机器人实现不间断的长期运行。

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