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Kinematic Analysis of Multi-Fingered, Anthropomorphic Robotic Hands

机译:多指拟人化机器人手的运动学分析

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摘要

The ability of stable grasping and fine manipulation with the multi-fingered robot hand with required precision and dexterity is playing an increasingly important role in the applications like service robots, rehabilitation, humanoid robots, entertainment robots, industries etc.. A number of multi-fingered robotic hands have been developed by various researchers in the past. The distinct advantages of a multi-fingered robot hand having structural similarity with human hand motivate the need for an anthropomorphic robot hand. Such a hand provides a promising base for supplanting human hand in execution of tedious, complicated and dangerous tasks, especially in situations such as manufacturing, space, undersea etc. These can also be used in orthopaedic rehabilitation of humans for improving the quality of the life of people having orthopedically and neurological disabilities. The developments so far are mostly driven by the application requirements. There are a number of bottlenecks with industrial grippers as regards to the stability of grasping objects of irregular geometries or complex manipulation operations. A multi-fingered robot hand can be made to mimic the movements of a human hand. The present piece of research work attempts to conceptualize and design a multi-fingered, anthropomorphic robot hand by structurally imitating the human hand.udIn the beginning, a brief idea about the history, types of robotic hands and application of multi-fingered hands in various fields are presented. A review of literature based on different aspects of the multi-fingered hand like structure, control, optimization, gasping etc. is made. Some of the important and more relevant literatures are elaborately discussed and a brief analysis is made on the outcomes and shortfalls with respect to multi-fingered hands. Based on the analysis of the review of literature, the research work aims at developing an improved anthropomorphic robot hand model in which apart from the four fingers and a thumb, the palm arch effect of human hand is also considered to increase its dexterity.udA robotic hand with five anthropomorphic fingers including the thumb and palm arch effect having 25 degrees-of-freedom in all is investigated in the present work. Each individual finger is considered as an open loop kinematic chain and each finger segment is considered as a link of the manipulator. The wrist of the hand is considered as a fixed point.udThe kinematic analyses of the model for both forward kinematics and inverse kinematic are carried out. The trajectories of the tip positions of the thumb and the fingers with respect to local coordinate system are determined and plotted. This gives the extreme position of the fingertips which is obtained from the forward kinematic solution with the help of MATLAB. Similarly, varying all the jointudivudangles of the thumb and fingers in their respective ranges, the reachable workspace of the hand model is obtained. Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for solving the inverse kinematic problem of the fingers.udSince the multi-fingered hand grasps the object mainly through its fingertips and the manipulation of the object is facilitated by the fingers due to their dexterity, the grasp is considered to be force-closure grasp. The grasping theory and different types of contacts between the fingertip and object are presented and the conditions for stable and equilibrium grasp are elaborately discussed. The proposed hand model is simulated to grasp five different shaped objects with equal base dimension and height. The forces applied on the fingertip during grasping are calculated. The hand model is also analysed using ANSYS to evaluate the stresses being developed at various points in the thumb and fingers. This analysis was made for the hand considering two different hand materials i.e. aluminium alloy and structural steel.udThe solution obtained from the forward kinematic analysis of the hand determines the maximum size for differently shaped objects while the solution to the inverse kinematic problem indicates the configurations of the thumb and the fingers inside the workspace of the hand. The solutions are predicted in which all joint angles are within their respective ranges.udThe results of the stress analysis of the hand model show that the structure of the fingers and the hand as a whole is capable of handling the selected objects.udThe robot hand under investigation can be realized and can be a very useful tool for many critical areas such as fine manipulation of objects, combating orthopaedic or neurological impediments, service robotics, entertainment robotics etc.udThe dissertation concludes with a summary of the contribution and the scope of further work.
机译:在需要服务的机器人,康复,人形机器人,娱乐机器人,工业等应用中,具有多指机器人手的稳定抓握和精细操纵能力以及所要求的精度和灵巧性正发挥着越来越重要的作用。过去,各种研究人员已经开发了手指机械手。具有与人类手的结构相似性的多指机器人手的独特优点激发了对拟人化机器人手的需求。这样的手为执行繁琐,复杂和危险的任务,尤其是在制造,太空,海底等情况下取代人类的手提供了有希望的基础。这些手也可以用于人类的骨科康复中,以改善生活质量有骨科和神经科疾病的人群迄今为止的发展主要是由应用程序需求驱动的。关于抓取不规则几何形状或复杂操作操作的物体的稳定性,工业抓爪存在许多瓶颈。可以制作多指的机械手来模仿人的手的动作。当前的研究工作试图通过结构上模仿人的手来概念化和设计多指的拟人化机器人手。 ud首先,简要介绍一下机器人手的历史,类型以及多指手的应用。介绍了各个领域。基于多指手的不同方面,如结构,控制,优化,喘息等,对文献进行了综述。详细讨论了一些重要且更相关的文献,并对多指手的结果和不足进行了简要分析。基于文献综述的分析,研究工作旨在开发一种改进的拟人化机器人手模型,该模型中,除了四个手指和拇指之外,还考虑了人手的掌弓效应,以提高其灵活性。 udA在本工作中,研究了具有五个拟人化手指(包括拇指和掌弓效应)的机器人手,这些手势总共具有25个自由度。每个单独的手指都被视为开环运动链,每个手指部分都被视为操纵器的链接。 ud对模型进行了正向运动学和逆向运动学的运动学分析。确定并绘制相对于局部坐标系的拇指和手指的尖端位置的轨迹。这给出了指尖的极端位置,指尖的位置是在MATLAB的帮助下从正向运动学解决方案中获得的。类似地,通过在它们各自的范围内改变拇指和手指的所有关节 udiv udangle,可以获得手模型的可到达工作空间。自适应神经模糊推理系统(ANFIS)用于解决手指的逆运动学问题。 ud由于多指手主要通过其指尖来抓握对象,并且由于手指的灵巧性,可以方便对对象进行操作,该抓握被认为是强制闭合抓握。介绍了抓握理论和指尖与物体接触的不同类型,并详细讨论了稳定和平衡抓握的条件。仿真提出的手模型,以抓取五个具有相同基本尺寸和高度的不同形状的物体。计算在抓握过程中施加在指尖上的力。还使用ANSYS对手模型进行了分析,以评估在拇指和手指各个点处产生的压力。针对手的分析是考虑到两种不同的手材料,即铝合金和结构钢。 ud从手的正向运动学分析中获得的解决方案确定了形状不同的物体的最大尺寸,而对运动学反问题的解决方案表明了构型拇指和手指在手的工作空间内。对所有关节角度都在各自范围内的解决方案进行了预测。 ud手形模型的应力分析结果表明,手指和手的结构总体上能够处理选定的对象。在许多关键领域,例如对物体的精细操作,与矫形外科或神经系统疾病作斗争,服务机器人,娱乐机器人等,都可以实现被调查人员的手部工作。 ud本文总结了工作的贡献和范围。进一步的工作。

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    Parida Pramod Kumar;

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