Virtual Triangulation Sensor Development, Behavior Simulation and CAR Integration Applied to Robotic Arc-Welding

Background: An increasing number of industrial robots are being programmed using CAR (Computer Aided Robotics). Sensor guidance offers a means of coping with frequent product changes in manufacturing systems. However, sensors increase the uncertainty and to preserve system robustness, a tool is needed that makes it possible to understand a sensor guided robot system before and during its actual operation in real life.Scope: A virtual sensor is developed and integrated in a CAR hosted environment. The real sensor is of a type commonly used in the arc-welding industry and uses a triangulation method for depth measurements. The sensor is validated both statically and dynamically by matching it with a real sensor through measurements in setups and by comparing a welding application performed in a real and a virtual work-cell created with a CAR application. The experimental results successfully validates its performance. In this context, a virtual sensor is a software model of a physical sensor with similar characteristics, using geometrical and/or process specific data from a computerized model of a real work-cell.

[1]  A. Bejczy.  Toward Advanced Teleoperation in Space , 1994 .

[2]  Y. F. Li,et al.  Incorporating contact sensing in virtual environment for robotic applications , 1999, IEEE Trans. Instrum. Meas..

[3]  T. Arai,et al.  A task-level visual robot teaching system , 1997, Proceedings of the 1997 IEEE International Symposium on Assembly and Task Planning (ISATP'97) - Towards Flexible and Agile Assembly and Manufacturing -.

[4]  Olivier Michel,et al.  Vision Sensors on the Webots Simulator , 1998, Virtual Worlds.

[5]  Shigeoki Hirai,et al.  Intelligent monitoring system for limited communication path: telerobotic task execution over Internet , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[6]  Ole Madsen,et al.  A Real-Time Sensor Interface for 3D-Tracking in Welding , 1994 .

[7]  Motoji Yamamoto,et al.  Application of fuzzy logic controller in the seam tracking of arc-welding robot , 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

[8]  Klas Nilsson,et al.  Industrial Robot Programming , 1996 .

[9]  Gerd Hirzinger,et al.  Task directed programming of sensor based robots , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[10]  Lin Wu,et al.  On teleoperation of an arc welding robotic system , 1996, ICRA.

[11]  Klaus Landzettel,et al.  A Universal Task-Level Ground Control and Programming System for Space Robot Applications , 1999 .

[12]  Jianjun Wang,et al.  Incorporating dynamic sensing in virtual environment for robotic tasks , 1998, IMTC/98 Conference Proceedings. IEEE Instrumentation and Measurement Technology Conference. Where Instrumentation is Going (Cat. No.98CH36222).

[13]  Doris Kugelmann.  Autonomous robotic handling applying sensor systems and 3D simulation , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[14]  Antal K. Bejczy,et al.  A New Telerobotic Application: Remote Laparoscopic Surgery Using Satellites and Optical Fiber Networks for Data Exchange , 1996, Int. J. Robotics Res..

[15]  Klaus Landzettel,et al.  Multisensory shared autonomy and tele-sensor-programming-Key issues in the space robot technology experiment ROTEX , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).