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Kinematics-Based Detection and Localization of Contacts Along Multisegment Continuum Robots

机译:基于运动学的多段连续体机器人的接触检测和定位

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In this paper, we present a novel kinematic-based framework for collision detection and estimation of contact location along multisegment continuum robots. Screw theory is used to define a screw motion deviation (SMD) as the distance between the expected and the actual instantaneous screw axis (ISA) of motion. The expected ISA is computed based on the unconstrained kinematics model of the robot, while the actual ISA is computed based on sensory information. Collisions with rigid environments at any point along the robot are detected by monitoring the SMD. Contact locations are estimated by the minimization of the SMD between the ISA that is obtained from a constrained kinematic model of the continuum robot and the one that is obtained from sensor data. The proposed contact detection and localization methods only require the relative motion of each continuum segment with respect to its own base. This strategy allows the straightforward generalization of these algorithms for an n -segment continuum robot. The framework is evaluated via simulations and experimentally on a three-segment multibackbone continuum robot. Results show that the collision-detection algorithm is capable of detecting a single collision at any segment, multiple collisions occurring at multiple segments, and total-arm constraint. It is also shown that the estimation of contact location is possible at any location along the continuum robot with an accuracy better than 20% of the segment nominal length. We believe this study will enhance manipulation safety in unstructured environments and confined spaces.
机译:在本文中,我们提出了一个新颖的基于运动学的框架,用于沿着多段连续体机器人进行碰撞检测和接触位置估计。使用丝杠理论将丝杠运动偏差(SMD)定义为运动的预期和实际瞬时丝杠轴(ISA)之间的距离。预期的ISA是根据机器人的非运动学模型计算的,而实际的ISA是根据感官信息计算的。通过监视SMD,可以检测到机器人沿任意位置与刚性环境的碰撞。通过从连续机器人的受约束运动模型获得的ISA与从传感器数据获得的ISA之间的SMD最小化,可以估算接触位置。所提出的接触检测和定位方法仅需要每个连续部分相对于其自身基础的相对运动。这种策略可以将这些算法直接推广到n段连续体机器人。该框架通过模拟进行评估,并在三段式多骨干连续体机器人上进行了实验。结果表明,该碰撞检测算法能够检测任意段的单个碰撞,在多个段发生的多个碰撞以及总臂约束。还表明,可以在连续机器人上的任何位置进行接触位置的估计,其准确度优于线段标称长度的20%。我们相信这项研究将提高非结构化环境和密闭空间中的操纵安全性。

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