实现3D黏弹性物体操控中的精准接触力与形变调控。
CATCH-FORM-3D: Compliance-Aware Tactile Control and Hybrid Deformation Regulation for 3D Viscoelastic Object Manipulation
- 用偏微分方程建模材料时空应力应变,融合粘弹性与扩散效应。
- 实时估计刚度、阻尼等参数,实现亚毫米级形变精度和稳定力跟踪。
- 适合工业装配、手术辅助等需要柔顺交互的场景。
本文提出一种用于黏弹性材料操控中精确接触力控制与表面形变调节的框架(CATCH-FORM-3D)。通过引入偏微分方程(PDE)建模时空应力应变动态,整合3D Kelvin-Voigt(刚度-阻尼)与Maxwell(扩散)效应以捕捉材料的黏弹性行为。基于该模型设计的PDE驱动观测器,实时估计刚度、阻尼及扩散系数,并融合视觉-触觉传感器数据与实验验证的力信号生成丰富回归量。构建内外环控制结构:外环采用新型顺应性控制律(结合比例-微分反馈与接触力测量),使系统能自适应响应外部交互;内环建立形变跟踪误差的反应-扩散型PDE,并通过设定狄利克雷边界条件将接触面匹配至解析几何构型,实现误差指数稳定。该双环架构有效支持动态接触环境下的形变调节。实验采用PaXini机器人手,在真实场景中验证了亚毫米级形变精度与稳定力跟踪性能。该框架推动了柔性机器人在工业装配、聚合物成型、外科治疗及家庭服务等应用中的发展。
原文摘要 · Abstract (English)
This paper investigates a framework (CATCH-FORM-3D) for the precise contact force control and surface deformation regulation in viscoelastic material manipulation. A partial differential equation (PDE) is proposed to model the spatiotemporal stress-strain dynamics, integrating 3D Kelvin-Voigt (stiffness-damping) and Maxwell (diffusion) effects to capture the material's viscoelastic behavior. Key mechanical parameters (stiffness, damping, diffusion coefficients) are estimated in real time via a PDE-driven observer. This observer fuses visual-tactile sensor data and experimentally validated forces to generate rich regressor signals. Then, an inner-outer loop control structure is built up. In the outer loop, the reference deformation is updated by a novel admittance control law, a proportional-derivative (PD) feedback law with contact force measurements, ensuring that the system responds adaptively to external interactions. In the inner loop, a reaction-diffusion PDE for the deformation tracking error is formulated and then exponentially stabilized by conforming the contact surface to analytical geometric configurations (i.e., defining Dirichlet boundary conditions). This dual-loop architecture enables the effective deformation regulation in dynamic contact environments. Experiments using a PaXini robotic hand demonstrate sub-millimeter deformation accuracy and stable force tracking. The framework advances compliant robotic interactions in applications like industrial assembly, polymer shaping, surgical treatment, and household service.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。