论文arXiv 2611.07091今天

多段剪式支撑结构机械约束连续体机器人曲率提升形变精度

提出一种基于泰勒近似的多段剪式柔性支撑结构，通过机械约束强制连续体机器人呈现预设曲率。实验证实该设计显著抑制非预期S形变与外部负载干扰，降低独立形状变量估计维度，解决传统模型假设与实际力学特性不符难题。

AI 整理

机型本体
硬件零部件

本文由 AI 根据公开内容整理，可能有误，请以原文为准：Curvature by Design: A Support Structure for Continuum Robots（arXiv 2611.07091）

核心内容

针对连续体机器人常/分段常曲率运动学模型假设易被实际工况违背的问题，研究提出一种多段剪式支撑结构，从机械层面强制约束机器人呈现预设的恒定或空间变化曲率。该结构集成于腱驱动柔性脊柱连续体机器人，实验表明其能有效抵抗非预设变形，显著提升形状精度并防止反向负载下的S形弯曲，从而减少需估计的独立形状变量数量。

技术方案采用泰勒近似法设计过约束多关节连杆，将全局弯曲精确分配至多个柔性铰链的小角度运动中。几何耦合通过合规柔性关节实现，支持整体单件制造。该支撑结构与柔性脊柱及腱绳驱动系统物理集成，通过限制容许变形空间而非依赖算法补偿，确保了运动学模型中曲率假设的机械真实性，增强了系统在复杂负载下的形态可控性。

关键看点

机械曲率约束：利用多段剪式支撑结构强制连续体机器人遵循预设曲率，消除模型假设与物理特性的偏差
泰勒近似传动：基于泰勒展开设计过约束连杆，将全局弯曲解耦为多柔性铰链小角度运动，实现可预测形变分配
抗干扰形变控制：实验验证结构有效抑制外部反向负载引发的S形变，显著优于传统柔性脊柱设计的形状精度
状态估计降维：通过机械限制容许变形空间，直接减少需实时估计的独立形状变量数，降低感知与建模复杂度

工程与产业观察

该研究展示了“以机构设计保证模型有效性”的工程范式，通过机械约束替代纯算法补偿来解决连续体机器人建模失真痛点。对于医疗导管、狭窄空间探测等对形态精度要求极高的场景，这种硬件层面的先验约束能大幅降低实时状态估计算力需求，为高可靠具身操作提供了新的本体设计思路。

英文摘要 (Abstract)

Constant- and piecewise-constant-curvature models are widely used to simplify the kinematics of continuum robots, although the assumed curvature profiles are not necessarily inherent mechanical properties of the robot and may therefore be violated during operation. Rather than assuming a prescribed curvature profile in the kinematic model and estimating deviations from it, this paper presents a multi-segment scissor-based support structure that mechanically constrains a continuum robot to exhibit prescribed constant or spatially varying curvature profiles. The design uses Taylor approximations to enable an overconstrained multi-joint linkage to predictably distribute global bending among the small-angle movements of multiple flexures. The geometric coupling is realized using compliant flexure joints, enabling the support structure to be manufactured as a single piece. The structure is integrated with a tendon-actuated continuum robot with a flexible backbone. Experiments show that the structure makes the robot resistant to deformations other than the prescribed curvature, significantly enhancing shape precision compared to classical flexible-backbone designs. This constrains the robot from making S-shapes when external loads are applied in the opposite direction of the bending. By mechanically constraining the admissible deformation, the proposed structure reduces the number of independent shape variables that must be estimated.

作者：Justus Sagem"uller, Harald Minde Hansen, Kristin Y. Pettersen