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Design method for an anthropomorphic hand able to gesture and grasp

机译:能够手势和抓握的拟人化手的设计方法

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This paper presents a numerical method to conceive and design the kinematic model of an anthropomorphic robotic hand used for gesturing and grasping. In literature, there are few numerical methods for the finger placement of human-inspired robotic hands. In particular, there are no numerical methods, for the thumb placement, that aim to improve the hand dexterity and grasping capabilities by keeping the hand design close to the human one. While existing models are usually the result of successive parameter adjustments, the proposed method determines the fingers placements by mean of empirical tests. Moreover, a surgery test and the workspace analysis of the whole hand are used to find the best thumb position and orientation according to the hand kinematics and structure. The result is validated through simulation where it is checked that the hand looks well balanced and that it meets our constraints and needs. The presented method provides a numerical tool which allows the easy computation of finger and thumb geometries and base placements for a human-like dexterous robotic hand.
机译:本文提出了一种数值方法来构想和设计用于手势和抓握的拟人化机器人手的运动学模型。在文献中,很少有人用数字方法来模拟人类启发的机械手的手指。特别地,对于拇指放置,没有数值方法旨在通过使手的设计接近人类来提高手的敏捷性和抓握能力。虽然现有模型通常是连续参数调整的结果,但所提出的方法是通过经验测试确定手指的位置。此外,根据手的运动学和结构,使用整只手的手术测试和工作区分析来找到最佳的拇指位置和方向。通过仿真验证了结果,在该仿真中检查了手看起来平衡良好,并且满足了我们的约束和需求。提出的方法提供了一种数值工具,该数值工具可以轻松计算出像人一样灵巧的机械手的手指和拇指的几何形状以及基本位置。

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