arXiv:2509.23623cs.RO2025-09

用数学方法定义软执行器材料安全,确保变形不超限。

Encoding Material Safety using Control Barrier Functions for Soft Actuator Control

论文配图:Encoding Material Safety using Control Barrier Functions for Soft Actuator Control
图 1 · 摘自论文原文
  • 基于应变能函数定义材料安全边界
  • 通过高阶控制屏障函数实现安全约束
  • 适用于含惯性与粘性效应的软管系统

过去软机器人安全常被笼统视为其柔韧特性带来的自然优势。随着反馈控制在实际应用中兴起,必须明确定义安全内涵并分析软机器人失效机制。软机器人的核心在于形变实现功能,但本构模型精度限制与材料失效风险普遍存在,构成安全控制器设计的关键挑战。本文提出基于应变能函数的材料安全形式化定义,并设计相应控制器。我们刻画了不可压缩超弹性材料的安全与非安全状态集,证明可通过高阶控制屏障函数(HOCBF)结合二次规划反馈控制来强制执行安全规范。以带惯性、一阶粘性效应及全状态反馈的加压超弹性管为例,仿真验证了该方法可有效保障材料安全规范的满足。

原文摘要 · Abstract (English)

Until recently, the concept of soft robot safety was an informal notion, often attributed solely to the fact that soft robots are less likely to damage their operating environment than rigid robots. As the field moves toward feedback control for practical applications, it becomes increasingly important to define what safety means and to characterize how soft robots can become unsafe. The unifying theme of soft robotics is to achieve useful functionality through deformation. Consequently, limitations in constitutive model accuracy and risks of material failure are inherent to all soft robots and pose a key challenge in designing provably safe controllers. This work introduces a formal definition of material safety based on strain energy functions and provides a controller that enforces it. We characterize safe and unsafe sets of an incompressible hyperelastic material and demonstrate that safety can be enforced using a high-order control barrier function (HOCBF) with quadratic program-based feedback control. As a case study, we consider a pressurized hyperelastic tube with inertial effects, first-order viscous effects, and full-state feedback. Simulation results verify that the proposed methodology can enforce the material safety specification.

软体机器人安全控制屏障函数

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