基于AUTOCAD-API的机器人几何造型的装配算法

在机器人仿真与离线编程中，机器人和工作环境几何造型的部件装配算法十分重要，但其简洁性却依赖于所使用的几何造型平台，本文提出一基于ＡＵＴＯ ＣＡＤ的ＡＰＩ三维实体造型系统的机器人部件的图形装配算法，该算法简洁实用、高效率和高精度。     

基于AUTOCAD的机器人参数化三维实体造型

提出以广泛使用的非参数化造型系统ＡＵＴＯＣＡＤ进行机器人参数化三维实体造型方法和修改方法,能方便灵活地生成符合需要的机器人及其工作环境的三维实体模型,将其用于机器人离线编程,该方法也适用于以ＡＵＴＯＣＡＤ进行其它开链结构系统的参数化三维实体造型。     

任意凸形销孔零件及多销孔零件装配策略与实验研究

基于零件装配理论分析，本文提出了任意凸形销孔零件及多凸形销孔零件的装配策略，并开发了一个机器人装配系统，它由一个新研制的带有力功能机器人末端微操作器和ＰＵＭＡ５６２机器人组成，不同以往的设计，此微操作器主动调整与被动柔顺结合为一体，本装配系统能完成任意凸形销孔零件沿任意方向的装配作业，本文给出了典型的实验结果。     

首台KUKA点焊机器人组装成功

首台ＫＵＫＡ点焊机器人组装成功东风汽车装备公司组装的第一台德国ＫＵＫＡ，１２５ｋｇ点焊机器人已于１９９６年５月３０日问世．装备公司代表东风汽车公司与德国ＫＵＫＡ公司的技术合作已进行到第三阶段，先后引进了ＫＵＫＡ公司９０年代新型的１２５ｋｇ、６０ｋｇ、...     

有环境约束时完成一族跟踪任务的力控制

本文为工业机器人提出了一种极点配置控制法，这种控制方法的优点有：一是它的积分作用消除了机器人的微小扰动和稳态误差；二是能任意设置系统的极点，因此能保证闭环系统的稳定性和规定状态变量的暂态响应；三是加入了加速度反馈，抑制了由电枢电感所引起的机械手的振动，最后，给出了ＰＵＭＡ５６２机器人的计算机仿真和实验结果验证了此控制法的有效性。     

基于ARCC的无倒角轴孔装配实验研究

本文根据ＡＲＣＣ的工作原理，对机器人的无倒角插轴入孔装配作业进行了实验研究，介绍了实验系统的组成，ＡＲＣＣ系统闭环刚度和去耦力反馈矩阵的设置。给出在Ｍｏｖｅｍａｓｔｅｒ－ＥＸ和ＰＵＭＡ５６２机器人上进行自动寻孔和插轴入孔的实验结果。     

基于加速度传感器的机器人极点配置控制

本文为工业机器人提出了一种极点配置控制法．这种控制方法的优点有：一是它的积分作用消除了机器人的微小扰动和稳态误差；二是能任意设置系统的极点，因此能保证闭环系统的稳定性和规定状态变量的暂态响应；三是加入了加速度反馈，抑制了由电枢电感所引起的机械手的振动．最后，给出了ＰＵＭＡ５６２机器人的计算机仿真和实验结果验证了此控制法的有效性．     

四足步行机器人模糊神经网络控制

本文以模糊控制与神经网络应用于四足步行机器人的力与位置混合控制系统为目的，针对ＪＴＵＷＭ－ＩＩ四足步行机器人，进行了有关神经网络、模糊控制的理论研究和实验     

前进中的上海交通大学机器人研究所

走进上海交大校园，江泽民主席的题词“继往开来，勇攀高峰，把交通大学建设成世界一流大学”这二十二个大字金光闪闪，激励着奋发有为的交大人向二十一世纪世界著名大学的目标迈进。 上海交大机器人研究所的前身是１９７９年建立的机器人研究室，１９８５年改成研究所。它是我国最早开发机器人的专业机构，也是研究机器人产业化的主要基地。 机器人所不断积极引进高精尖的仪器设备，组建一流的实验室。有美国Ｕｎｉｍａｔｉｏｎ公司生产的ＰＵＭＡ６７２装配机器人，有著名的日本安川电机公司制造的ＭｏｔｏｍａｎＬ１０Ｗ焊接机器人，还有…     

采用力外环的机器人运动和力控制

本文给出了采用力外环的机器人控制的设计方案，利高精度六维腕力传感器在工业机器人Ｍｏｖｅｍａｓｔｅｒ－ＥＸ和ＰＵＭＡ５６２上进行该控制方案的实验研究。实验结果表明，采用力外环的机器人力控制方案其结构简单，通用性好，适合于各种不同用途的机器人力控制器设计。     

移动机器人的Android远程控制终端软件设计

针对移动机器人设计了基于Android平台的远程控制终端软件,利用Wi-Fi实现控制终端和移动机器人的无线通信。移动机器人带有基于惯性传感器和和里程计的惯性定位系统。机器人把自身惯性定位测得的位置参数传回给控制终端,通过在控制终端平板电脑上可以看到移动机器人所处的位置,并对机器人的动作发出指令,实现对移动机器人的远程监测与控制。实验结果表明,该远程控制终端能对移动机器人进行位置显示和有效控制。     

Development of a separable search-and-rescue robot composed of a mobile robot and a snake robot

Abstract

In this study, we propose a new robot system consisting of a mobile robot and a snake robot. The system works not only as a mobile manipulator but also as a multi-agent system by using the snake robot's ability to separate from the mobile robot. Initially, the snake robot is mounted on the mobile robot in the carrying mode. When an operator uses the snake robot as a manipulator, the robot changes to the manipulator mode. The operator can detach the snake robot from the mobile robot and command the snake robot to conduct lateral rolling motions. In this paper, we present the details of our robot and its performance in the World Robot Summit.     

Present and future robot control development—An industrial perspective

Robot control is a key competence for robot manufacturers and a lot of development is made to increase robot performance, reduce robot cost and introduce new functionalities. Examples of development areas that get big attention today are multi robot control, safe control, force control, 3D vision, remote robot supervision and wireless communication. The application benefits from these developments are discussed as well as the technical challenges that the robot manufacturers meet. Model-based control is now a key technology for the control of industrial robots and models and control schemes are continuously refined to meet the requirements on higher performance even when the cost pressure leads to the design of robot mechanics that is more difficult to control. Driving forces for the future development of robots can be found in, for example, new robot applications in the automotive industry, especially for the final assembly, in small and medium size enterprises, in foundries, in food industry and in the processing and assembly of large structures. Some scenarios on future robot control development are proposed. One scenario is that light-weight robot concepts could have an impact on future car manufacturing and on future automation of small and medium size enterprises (SMEs). Such a development could result in modular robots and in control schemes using sensors in the robot arm structure, sensors that could also be used for the implementation of redundant safe control. Introducing highly modular robots will increase the need of robot installation support, making Plug and Play functionality even more important. One possibility to obtain a highly modular robot program could be to use a recently developed new type of parallel kinematic robot structure with large work space in relation to the robot foot print. For further efficient use of robots, the scenario of adaptive robot performance is introduced. This means that the robot control is optimised with respect to the thermal and fatigue load on the robot for the specific program that the robot performs. The main conclusion of the presentation is that industrial robot development is far away from its limits and that a lot of research and development is needed to obtain a more widely use of robot automation in industry.     

Component-based robot system design for grasping tasks

The paper presents a robot system design with highly reusable components for a component-based robot system for manipulation tasks. The robot system is designed based on the analysis of manipulation tasks using a unified modeling language use case diagram. For a service robot with locomotion and manipulation mechanisms, reusability of robot system components is improved by adopting the proposed design. Our structure consists of scenario, task, robot information management server, data analyzer, sensor hardware controller, skill, and motion hardware controller on a component-based robot system. Based on the proposed robot system, we implemented a component-based robot system and subsequently realized a grasping motion by a service robot.     

基于B样条曲线的电力巡检机器人越障控制

为了提高电力巡检机器人越障控制能力,该文提出基于B样条曲线的电力巡检机器人越障控制技术,首先构建电力巡检机器人的被控对象模型,结合电力巡检机器人驱动动力学分布,进行电力巡检机器人的定位控制,同时采用避障算法进行电力巡检机器人巡检过程中的越障控制,结合位姿参数的自适应调节方法进行电力巡检机器人越障运动学模型构造。在此基础上,建立电力巡检机器人越障控制目标函数,采用B样条曲线跟踪寻优方法进行机器人的越障路径规划,采用自适应的模糊信息加权方法,进行电力巡检机器人越障控制优化。仿真结果表明,采用该方法进行电力巡检机器人运动轨迹测定分布结果稳定,接近运动轨迹的标准值。其越障控制的灵敏度较高,自适应控制能力较强,电力巡检机器人运动轨迹测定分布结果稳定,提高了电力巡检机器人越障性能。     

足球机器人的视觉系统的研制

足球机器人的视觉系统是足球机器人必不可少的组成部分。机器人仅依赖于其视觉系统获得比赛场上的信息。讨论了一种经济的小型的CMUcam视觉模块,把此视觉模块安装在智能机器人平台—能力风暴智能机器人上,使每一个机器人都有独立的视觉,从而使机器人成为全自主式的足球机器人。     

Motion planning for a landmine-detection robot

This article describes a landmine-detection system that contains a landmine-detection mobile robot and a following mobile robot. In this system, the landmine-detection robot goes ahead, and uses a landmine detector and a GPS module to find a landmine, records the coordinates of its location, and transmits these coordinates to the following mobile robot via a wireless RF interface. The following robot can record the location and orientation of the landmine-detection robot and all the landmines in the region. The following robot moves close to the landmine, and programs a path to avoid obstacles and landmines automatically. The driving system of the landmine-detection mobile robot uses a microprocessor dsPIC 30F4011 as the core, and controls two DC servomotors to program the motion path. The user interface of the landmine-detection robot and the following robot uses Borland C₊₊ Builder language to receive the location data. In the experimental results, the landmine-detection robot records the location of landmines using a GPS module, and transmits the locations to the following robot via a wireless RF interface. The following robot avoids the landmines, and improves the safety of people or materials being carried through the landmine area.     

面向对象的机器人仿真与监控系统

通过对机器人的几何建模和运动学建模进行了研究,论述了使用VC6．0语言作为开发平台,以OpenGL三维显示技术完成三维可视化,以VRML作为外部机器人模型表示,实现运行时可交互的机器人三维实时图形仿真系统的开发技术与方法。系统通过网络与机器人控制器进行通信,实时接收机器人控制器发来的状态数据,将它们动态地以三维模拟方式显示,用户能够动态地监视机器人的运动状态,在必要时对机器人的动作进行控制,为其它机器人的研究提供通用的仿真与模拟平台。     

Online robot calibration based on vision measurement

Robot calibration is a useful diagnostic method to improve positioning accuracy in robot production and maintenance. Unlike traditional calibration methods that require expensive equipment and complex steps, a vision-based online robot calibration method that only requires several reference images is presented in this paper. The method requires a camera that is rigidly attached to the robot end effector (EE), and a calibration board must be settled around the robot where the camera can see it. An efficient automatic approach to detect the corners from the images of the calibration board is proposed. The poses of the robot can be estimated from the detected corners. The kinematic parameters can be conducted automatically based on the known poses of the robot. Unlike in the existing self-calibration methods, the great advantage of this online self-calibration method is that the entire process of robot calibration is automatic and without any manual intervention, enabling the robot calibration to be completed online when the robot is working. Therefore, the proposed approach is particularly suitable for unknown environments, such as deep sea or outer space. In these high-temperature and/or high-pressure environments, the shapes of the robot links are easy to change. Thus, the robot kinematic parameters are changed by allowing the robot to grab objects with different qualities to verify the performance of the online robot calibration. Experimental studies on a GOOGOL GRB3016 robot show that the proposed method has high accuracy, convenience, and high efficiency.     

基于聚类分析和运动描述语言的扑翼飞行机器人行为规划

为了解决扑翼飞行机器人实时控制过程中操作者工作量大、操作较为复杂的难题,实现扑翼飞行机器人的分布式智能控制,提出了基于聚类分析和运动描述语言的扑翼飞行机器人行为规划方法.利用扑翼飞行机器人飞行数据聚类分析的结果,将机器人运动行为进行合理分类.在保证了运动描述语言的基元关系的同时,合理提取了扑翼飞行机器人的行为特征,并针对扑翼飞行机器人绕杆任务定义了4类运动基元.以扑翼飞行机器人和机载陀螺仪搭建了扑翼飞行机器人实验系统.通过直接控制方法和基于运动描述语言的机器人行为规划方法进行了实物实验和仿真实验,实验结果验证了所提方法的可行性和有效性.