基于G代码的工业机器人的自动编程

随着自动化程度的提高和CAD/CAM技术的发展，工业机器人常见的手工示教编程 已经不能满足需要，利用CAD/CAM软件实现机器人自动编程是工业机器人发展的必然趋势． 本文分析了利用通用G代码实现机器人自动编程的可行性，在考虑了数控机床与机器人坐标 系统的差异的基础上，具体研究了G代码程序到机器人工作程序的转换算法，并从编程的角 度，对轨迹仿真、差错检验以及动态优化进行了讨论．     

Motion navigation for arc welding robots based on feature mapping in a simulation environment

The efficiency of the off-line programming for the arc welding robots depends on the complexity of the workpieces and the welding experience of the technician. When the workpieces or fixtures are redesigned or the robot workstation layout is changed, the result of prior off-line programming cannot be reused. With the thought of CAD/CAPP/CAM integration, this paper presents a feature mapping algorithm, which converts the design features of the workpieces to the machining features of the seams. Then a motion navigation method based on feature mapping in a simulation environment is proposed. This method comprises initial position guiding and seam tracking. For initial position guiding, a motion path with the least energy consumption is generated based on the weighted optimal control; then the path is revised for avoiding obstacles by setting the path tags dynamically. For seam tracking, the seam is dispersed into discrete welding points; then the welding gun moves through each point according to the welding sequence. The method is implemented in the development of an off-line programming simulation system. Industrial cases of the welding robot workcell layout for automobile door frames show the method can make the off-line programming much more effective.     

Task-oriented programming of large redundant robot motion

Large robots are a new domain of advanced robotics. Examples of their application fields are tasks like operations on large free-form surfaces, especially aircraft cleaning and removing paint from hulls. They are equipped with a programmable robot control comparable to a control system used for industrial robots. However, conventional teach-in methods are not able to manage the complexity of programming large redundant robot operation on free-form geometries. The Fraunhofer IPA has developed an innovative off-line programming system that allows the creation of robot motion programs which satisfy time and energy optimization criteria. This system helps to avoid collisions within the workspace and to fulfill conditions that arise from the robot kinematics and dynamics. This advanced programming system has been successfully used to generate motion programs for the world's largest mobile robot, the aircraft cleaning manipulator SKYWASH. In this context offline programs for eleven different types of aircraft have been developed.     

Discretization and fitting of nominal data for autonomous robots

This paper presents methodologies to discretize nominal robot paths extracted from 3-D CAD drawings. Behind robot path discretization is the ability to have a robot adjusting the traversed paths so that the contact between robot tool and work-piece is properly maintained. In addition, a hybrid force/motion control system based on Fuzzy-PI control is proposed to adjust robot paths with external sensory feedback. All these capabilities allow to facilitate the robot programming process and to increase the robot’s autonomy.     

A kinematics and dynamics simulation of the IBM-7565 robot using AML

This article presents a kinematics and dynamics simulation of the IBM-7565 robot using its AML programming language. The kinematics and dynamics models are formulated according to the Denavit-Hartenberg convention and a recursive Newton-Euler algorithm, respectively. The simulation is integrated in a CAD software package (CATIA) which is used in robot offline programming and collision/interference analysis. The CAD package software which runs on an IBM 3033 main frame also emulates the AML for automatic programming. The simulation models can be run on the IBM 3033 using the emulator or on the robot's dedicated Series-1 computer to where the programs are downloaded for execution and control of robot motion.     

CAD／CG在机器人离线编程中的应用

机器人离线编程是机器人应用的重要工具，它与ＣＡＤ／ＣＧ技术紧密相关，本文讨论ＣＡＤ／ＣＧ在我们开发的装配机器人离线编程系统ＡＲＰＳ中的应用，包括机器人世界的几何建模、运动位置的推理、碰撞检查和计算机动画。     

基于ADAMS的弧焊机器人运动仿真

机器人三维运动仿真是当前机器人研究领域中重要的研究方向之一。采用CAD软件Pro/E和机械系统动力学仿真软件ADAMS,对德国CLOOS公司生产的76AW型弧焊机器人建立了三维运动仿真模型。采用Denavit-Hartenberg方法建立了连杆坐标系下的机器人运动学模型,并采用Matlab编写了运动学正、逆解的程序。详细阐述了模型的建立方法及具体过程,实现了在ADAMS环境下的机器人焊缝路径的运动仿真。为机器人动力学及离线编程技术的研究提供了基础。     

A STEP-compliant Industrial Robot Data Model for robot off-line programming systems

Recently, various robot off-line programming systems have promoted their own robot data models, resulting in a plethora of robot representation methods and unchangeable data files among CAx and robot off-line programming systems. The current paper represents a STEP-compliant Industrial Robot Data Model (IRDM) for data exchange between CAx systems and robot off-line programming systems. Using this novel representation method, most resources involved in a robot manufacturing system can be represented. The geometric and mathematic aspects of industrial robots have been defined in IRDM, so that the robot off-line programming system could have abundant information to represent robots’ kinematic and dynamic behaviors. In order to validate the proposed models and approaches, a prototype robot off-line programming system with 3D virtual environment is presented. The functionalities of IRDM not only have significant meaning for providing a unified data platform for robot simulation systems, but also have the potential capability to represent robot language using the object-oriented concept.     

机器人图标化编程环境的设计及实现

为解决传统机器人文本编程不易于学习和使用的问题,设计了面向机器人的图标化简便编程环境．重点研究了图标化机器人程序语言的设计及其解释执行技术．通过图标化编程环境在工业机器人上的实现和应用,说明图标化编程技术相对于传统文本式编程技术的易用性和高效性．     

机器人图形示教盒编程的研究

本文介绍机器人作业的图形示教盒编程.通过建立机器人的运动学和三维几何模型,采用实时动画技术,在计算机屏幕上对机器人进行图形仿真示教,文中还讨论了图形示教程序的单步执行和实时修正方法,并给出了国产 PJ-lA 机器人进行喷漆作业的图形示教盒编程的实例.结果表明:机器人的图形示教盒编程具有生动、方便的特点,为机器人的编程研究提供了适用的工具.     

一个装配机器人离线编程系统的设计与实现

机器人离线编程系统是机器人应用开发的有效工具。本文给出一个智能装配机器人离线编程系统ＡＲＰＳ。该系统提供了一个良好的机器人程序开发和调试环境。用户可采用交互方式建立机器人及环境模型，用操作手级的机器人语言ＡＲＬ描述机器人作业，通过图形仿真调控机器人程序，目标程序与数据通过串行口下装到机器人控制器。     

A sensor based technique for automated robot programming

This paper presents the concept of integrating a tactile sensor based, automated part measuring technique and a CAD programming scheme to perform off-line programming for a welding robot. The techniques used to achieve data flow throughout the production process include coordinate system referencing, interactive programming, tactile sensing seam tracing, and coordinate transformation. Together they form the backbone of the idea of integrating measurement and production operations where continuous path geometrical control is required. Techniques for referencing a workpiece with respect to different handling devices, and positioning the part on a suitable fixture, form an important portion of this work. Consequently, the positioning aspect and the data transfer capability between stages in the production process are highlighted. The welding of lap-joint type seams serves as an example. The integration of automated measurement and off-line robot programming actually constitutes a flexible manufacturing system operation that is capable of assuring the required process control. In this regard, linking a robot with an automated part measuring technique forms an important step towards upgrading a robot device from a difficult to program unit to a unit with a high degree of flexibility with rapid, convenient automatic contour programming.     

Reusing Primitive and Acquired Motion Knowledge for Gait Generation of a Six-legged Robot Using Genetic Programming

There has been growing interest in motion planning problems for mobile robots. In this field, the main research is to generate a motion for a specific robot and task without previously acquired motions. However it is too wasteful not to use hard-earned acquired motions for other tasks. Here, we focus on a mechanism of reusing acquired motion knowledge and study a motion planning system able to generate and reuse motion knowledge. In this paper, we adopt a tree-based representation for expressing knowledge of motion, and propose a hierarchical knowledge for realizing a reuse mechanism. We construct a motion planning system using hierarchical knowledge as motion knowledge and using genetic programming as a learning method. We apply a proposed method for the gait generation task of a six-legged locomotion robot and show its availability with computer simulation.     

CAD‐based automated robot programming in adhesive spray systems for shoe outsoles and uppers

Most shoe manufacturing processes are not yet automated; it puts restrictions on increasing productivity. Among them, adhesive application processes particularly are holding the most workers and working hours. In addition, the working environment is very poor due to the toxicity of adhesive agents. In the case of automating an adhesive application process by using a robot, robot teaching by playback is difficult to produce high productivity because the kinds of shoes to be taught mount up to several thousands. To cope with it, it is necessary to generate robot working paths automatically according to the kind, the size, or the right and the left of shoes, and also to teach the generated paths to a robot automatically. This paper presents a method to generate three‐dimensional robot working paths off‐line based on CAD data in an automatic adhesive spray system for shoe outsoles and uppers. First, this paper describes how to extract the three‐dimensional data of an outsole outline from a two‐dimensional CAD drawing file. Second, it describes how to extract the three‐dimensional data of an upper profiling line from the three‐dimensional scanning data that is opened in a three‐dimensional CAD program. Third, it describes how to generate robot working paths based on the extracted data and the nozzle setting parameters for adhesive spray. Also, a series of experiments for adhesive spray is performed to verify the effectiveness of the presented methods. This study will do much for increasing productivity in shoe manufacturing as a core work of a robotic adhesive spray system. © 2004 Wiley Periodicals, Inc.     

冲压自动生产线上下料机器人示教编程方法

针对由多台机器人及多种辅助设备组成的冲压自动生产线编程量大、运动协调关系复杂、联锁信号多的特点 ,介绍一种离线规划与在线示教相结合的冲压机器人示教编程方法 ,对冲压机器人进行运动轨迹、作业内容等方面的示教 ,降低了示教内容的复杂性 ,节省了在线示教所占用的现场调试和生产时间。     

Graphical simulation for sensor based robot programming

The programming of robots is slowly evolving from traditional teach pendant methods to graphical Off-Line Programming (OLP) methods. Graphical simulation tools, such as OLP, are very useful for developing and testing robot programs before they are run on real industrial equipment. OLP systems are also used to develop task level programs. Traditional OLP systems, however, suffer from the limitations of using only position control which does not account for inherent robot inaccuracies and dynamic environments. This paper describes our work on improving and supplementing traditional position control programming methods. A baseline OLP system was implemented at NIST's Automated Manufacturing Research Facility (AMRF). Experience gained in implementing this system showed that an effective OLP system must accurately simulate the real world and must support sensor programming to compensate for real-world changes that cannot be simulated. The developed OLP geometric world model is calibrated using robot mounted ultrasound ranging sensors. This measurement capability produces a baseline geometric model of relatively good static accuracy for off-line programming. The graphical environment must also provide representations of sensor features. For this specific application, force is simulated in order to include force based commands in our robot programs. These sensor based programs are able to run reliably and safely in an unpredictable industrial environment. The last portion of this paper extends OLP and describes the functionality of a complete system for programming complex robot tasks.     

Interactive robot trajectory planning and simulation using Augmented Reality

Human-robot interaction in industrial robotics has largely been confined to finding better ways to reconfigure or program the robots. In this paper, an Augmented Reality based (RPAR-II) system is proposed to facilitate robot programming and trajectory planning considering the dynamic constraints of the robots. Through the various simulation capabilities provided in the proposed AR environment, the users are able to preview the simulated motion, perceive any possible overshoot, and resolve discrepancies between the planned and simulated paths prior to the execution of a task. By performing the simulation, the performance of the trajectory planning and the fitness of the selection of the robot controller model/parameters in the robot programming process can be visually evaluated. Practical issues concerning the system implementation are also discussed.     

A three-dimensional machine-vision approach for automatic robot programming

This research investigates a novel robot-programming approach that applies machine-vision techniques to generate a robot program automatically. The hand motions of a demonstrator are initially recorded as a long sequence of images using two CCD cameras. Machine-vision techniques are then used to recognize the hand motions in three-dimensional space including open, closed, grasp, release and move. The individual hand feature and its corresponding hand position in each sample image is translated to robot's manipulator-level instructions. Finally a robot plays back the task using the automatically generated program.A robot can imitate the hand motions demonstrated by a human master using the proposed machine-vision approach. Compared with the traditional leadthrough and structural programming-language methods, the robot's user will not have to physically move the robot arm through the desired motion sequence and learn complicated robot-programming languages. The approach is currently focused on the classification of hand features and motions of a human arm and, therefore, is restricted to simple pick-and-place applications. Only one arm of the human master can be presented in the image scene, and the master must not wear long-sleeved clothes during demonstration to prevent false identification. Analysis and classification of hand motions in a long sequence of images are time-consuming. The automatic robot programming currently developed is performed off-line.