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

机译:基于运动学的基于运动学的触点沿着多音节连续体机器人的定位

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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,我们展示了一种基于新的基于运动的碰撞检测框架,沿着多音节连续内机器人碰撞检测和接触位置的估计。螺杆理论用于将螺钉运动偏差(SMD)定义为预期和运动的实际瞬时螺杆轴(ISA)之间的距离。基于机器人的无约束运动学模型计算预期的ISA,而实际ISA是基于感官信息计算的。通过监视SMD来检测与机器人的任何点的刚性环境的碰撞。通过从连续式机器人的约束运动模型和从传感器数据获得的ISA获得的ISA之间的SMD的最小化估计接触位置估计。所提出的接触检测和定位方法仅需要每个连续体段相对于自己的基础的相对运动。该策略允许N -Se段连续内机器人的这些算法的直接概括。该框架通过仿真进行评估,并在实验上进行三段多袋连续体机器人。结果表明,碰撞检测算法能够在任何段处检测单个碰撞,在多个段处发生的多个冲突,以及总臂约束。还示出了可以在沿连续内机器人的任何位置处估计接触位置,精度优于段标称长度的20%。我们认为这项研究将提高非结构化环境和限制空间的操纵安全性。

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