仅凭形状就能估算柔性线状物受力位置与大小。
Estimating Force Interactions of Deformable Linear Objects from their Shapes
- 基于形变形状和力矩平衡,解线性方程组推断受力。
- 仿真与实测均实现高精度受力估计,无需额外传感器。
- 适合机器人间接抓握、避障等需感知隐式接触的场景。
本文提出一种仅利用柔性线状物(DLO)观测形状来检测并估计外部作用力的解析方法。在机器人与导线交互任务中,接触点常不在末端执行器处,如通过推动间接操控或导线作为被动障碍物时。准确识别此类交互对安全高效轨迹规划至关重要,可防止导线损伤、避免机器人运动受限及潜在危险。现有方法多依赖昂贵的外置力/力矩传感器,或要求接触发生在末端。本方法基于深度相机获取的线状物形状,在假设其处于或接近静态平衡的前提下,无需额外先验知识,通过推导一致性条件并求解沿导线的力-矩平衡线性方程组,实现对力的大小和位置的联合估计。该方法在仿真中验证了高精度,并在真实实验中于特定交互场景下成功展示了准确的受力估计能力。
原文摘要 · Abstract (English)
This work introduces an analytical approach for detecting and estimating external forces acting on deformable linear objects (DLOs) using only their observed shapes. In many robot-wire interaction tasks, contact occurs not at the end-effector but at other points along the robot's body. Such scenarios arise when robots manipulate wires indirectly (e.g., by nudging) or when wires act as passive obstacles in the environment. Accurately identifying these interactions is crucial for safe and efficient trajectory planning, helping to prevent wire damage, avoid restricted robot motions, and mitigate potential hazards. Existing approaches often rely on expensive external force-torque sensor or that contacts occur at the end-effector for accurate force estimation. Using wire shape information acquired from a depth camera and under the assumption that the wire is in or near its static equilibrium, our method estimates both the location and magnitude of external forces without additional prior knowledge. This is achieved by exploiting derived consistency conditions and solving a system of linear equations based on force-torque balance along the wire. The approach was validated through simulation, where it achieved high accuracy, and through real-world experiments, where accurate estimation was demonstrated in selected interaction scenarios.
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