拱泥机器人的运动分类及控制

提出一个简单、可靠的运动分类及控制方案,将机器人的复杂运动分解为两类基本运动——自律运动和姿态调整,分别采用程序控制和人工控制模式进行控制。     

Internet-based Teleoperation Platform For Mobile Robot

An Internet-based teleoperation platform for Mobile Robot is introduced in this paper. The hardware of the system mainly consists of a mobile robot. Its software employs client-server architecture for robot control and feedback information display . Different communication protocols are adopted according to the characteristics of message exchanged between the robot server and the client. The user interface is designed for the purpose of interaction. The great benefit of this client-server architecture is that the client software is insulated from the lowest level details of the mobile robot. Thus, it is very easy to implement and test new advanced teleoperation control algorithms, interface designs and applications on this platform without large programming work.     

Resarch on Welding Robotic System with Petri Net

Petri net (PN) theory model was adopted for complexity in welding flexible manufacturing system (WFMS). A scheduling arithmetic was devised to optimize the process of controlling system. With this scheduling way, model simulation experiment was designed to validate the model. And a sort of controlling software was designed on local net. Besides, a special welding experiment had been designed to check the controlling way. Results show the controlling process rightly and feasibly.     

Locomotion by mechanical pectoral fins

The objectives of this study were the development of a new device for maneuvering an underwater vehicle using the mechanism of a fish swimming, an experimental and theoretical analysis of the hydrodynamic characteristics of the device, and its application to maneuvering a fish robot. Observations and experimental analysis of the pectoral fins of a black bass (Micropterus salmoides) revealed that the locomotion of the fish, such as swimming forward at low speed, swimming backward, and turning in a horizontal plane is generated by using a combination of a feathering motion and a lead-lag motion of the pectoral fins. A mechanical pectoral fin making a feathering motion and a lead-lag motion generates a thrust force in a range of phase differences between both motions. The unsteady vortex lattice method, including the effect of viscosity, can express fairly well the unsteady forces acting on the mechanical pectoral fin in the range of phase differences where it exerts the thrust force. The fish robot, consisting of a model fish body and a pair of mechanical pectoral fins, can not only swim forward and turn in almost the same position, but can also swim in a lateral direction without changing the yaw angle. Translation of an article that appeared in the Journal of The Society of Naval Architects of Japan, vol. 182 (1997): The original article won the SNAJ prize, which is awarded annually to the best papers selected from the SNAJ Journal, JMST, or other quality journals in the field of naval architecture and ocean engineering.     

全自动变形监测系统精度分析

基于测量机器人的固定全自动极坐标和固定全自动极坐标差分变形,提出了监测中的2种技术方案,推导了2种监测方案的精度估算公式,并对精度估算公式进行简化,用模拟数据进行了精度估算。研究了差分测量的原理和提高精度的方法,分析了2种监测方案的优缺点。分析表明：基于测量机器人的固定全自动极坐标差分变形监测技术方案是高精度自动变形监测中的最理想方案。     

两自由度并联机器人的RBF神经网络辨识自适应控制

针对平面两自由度五杆并联机器人的轨迹跟踪问题,提出了一种基于RBF神经网络的自适应PID控制方法.该控制方案利用RBF神经网络自适应学习辨识并联机器人系统的未知非线性动态,可以在线调整PID控制参数以实现高精度控制.仿真结果显示该控制策略可以精确实现对于并联五杆机器人的轨迹跟踪控制,该方法的自适应性和跟踪性能均优于传统的PID控制.     

工业机器人单目双视的应用研究

工业机器人单目双视系统充分利用机器人位姿便于调整的优势,在机器人带动摄像机一起运动过程中,对包含工件的场景进行多次图像采集,实现目标点三维坐标的识别。论文介绍了机器人摄像机的非线性快速补偿算法的定标原理,给出了机器人单目双视三维检测实验。单目双视结合工业机器人控制软件,可使工业机器人能实时调整运动轨迹也可对工件进行非接触测量,提高了工业机器人的适应性和灵活性。     

螺旋铣孔机器人末端执行器位置精度误差分析

基于Reis RV-16机器人,采用D-H法建立机器人连杆坐标系,推导出机器人连杆的运动学方程;采用函数微分法建立螺旋铣孔机器人关节变量对末端执行器位置精度影响的误差模型;采用AD-AMS软件建立螺旋铣孔机器人虚拟样机,通过运动学仿真验证了误差模型的准确性.该模型对评估螺旋铣孔机器人末端执行器位置误差,提高位置精度有积极的作用.     

基于多连杆的机器人步行机构运动特性分析

在研究设计机器人步行系统过程中,对所设计机器人步行机构的运动特性进行了理论分析和仿真实验,得出了步行机构落足点的运动轨迹曲线.步行机构为多连杆机构,共6组,每组结构相同.该机构采用1台电机,通过机构传动,来实现落足点周期性的运动,从而实现机器人的前进、后退以及一定范围内的越障.该步行机构满足落足点运动轨迹的一般要求：前半个周期实现迈步动作,落足点尽可能的高于地面,并有一定的水平位移;后半个周期使落足点回到初始位置,并保证其轨迹尽可能的与地面平行.     

小波分析在弧焊机器人视觉检测中的应用

针对弧焊机器人薄板对接、搭接焊缝的自动焊接问题,将小波分析应用在CCD直接获取的焊缝图像的处理中,用来提取焊缝轨迹.根据薄板的对接和搭接焊缝图像的特点,建立了斜坡型及梯形小波分析模型,通过对模型的多尺度小波变换和李氏指数的分析,可以区分焊缝的边缘类型,从而增强了焊缝轨迹提取方法的抗干扰性和适应性,也为弧焊机器人的自动化和智能化焊接提供一定的技术参考.