Junaid Ali Bin, Tahir Sanan, Rasheed Tahir, Ahmed Sharjeel, Sohail Mehreen, Afzal Muhammad Raheel, Ali Muzaffar, Kim Yoonsoo
J Nanosci Nanotechnol. 2014 Oct;14(10):7427-31. doi: 10.1166/jnn.2014.9558.
Human hand signifies a magnificent and challenging example for scientists and engineers trying to replicate its complex structure and functionality. This paper proposes a bio-mechatronic approach for the design of an anthropomorphic artificial hand capable of performing basic human hand motions with fundamental gripping functionality. The dexterity of the artificial hand is exhibited by imitating the natural motion of the human fingers. Imitation is produced according to the data acquired from the flex sensors attached to the human fingers. In order to have proper gripping, closed-loop control is implemented using the tactile sensors. Feedback for the closed-loop control is provided by force sensing resistors (FSRs), attached on the fingertips of the robotic hand. These sensors also enable handling of fragile objects. The mathematical model is derived using forward kinematics and also simulated on MATLAB to ascertain the position of robotic fingers in 3D space.
对于试图复制其复杂结构和功能的科学家和工程师而言,人类的手是一个既宏伟又具有挑战性的范例。本文提出了一种生物机电一体化方法,用于设计一种拟人化的人造手,该人造手能够执行具有基本抓握功能的基本人类手部动作。通过模仿人类手指的自然运动来展现人造手的灵活性。模仿是根据从附着在人类手指上的柔性传感器获取的数据产生的。为了实现适当的抓握,使用触觉传感器实施闭环控制。闭环控制的反馈由附着在机器人手指指尖的力敏电阻(FSR)提供。这些传感器还能够处理易碎物品。使用正向运动学推导数学模型,并在MATLAB上进行模拟,以确定机器人手指在三维空间中的位置。