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Model-Based Integration of Environment Description and Task Execution

  • Tsutomu Hasegawa
  • Takashi Suehiro
  • Tsukasa Ogasawara
Part of the NATO ASI Series book series (volume 50)

Abstract

This paper describes a model-based manipulation system being developed at Electrotechnical Laboratory. The system is composed of a direct-drive 6-revolute-joints manipulator ETA-3, a 3-D data acquisition system, an environment modeler with a geometric reasoning subsystem, and a programming system ETAlisp. Conventional CAD modeler provides idealized geometric description, while the robot system must executes tasks in the real world where a variety of constraints, errors and uncertainties must be treated. The system described in this paper is an integration to overcome these problems. A model base structure, a real world modeling system, a spatial calibration among coordinate frames, and a task execution system are described.

Keywords

Task Execution Spatial Reasoning Laser Pointer Manipulation Environment Model Base Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Reference

  1. [1]
    Suehiro, T. and Takase, K. “Development of a Direct Drive Manipulator:ETA-3 and Enhancement of Servo Stiffness by a Second-Order Digital Filter”, Proc. 15th ISER, Tokyo, 1985Google Scholar
  2. [2]
    Hasegawa, T., “An Interactive System for Modeling and Monitoring a Manipulation Environment”, IEEE Trans. on Systems, Man and Cybernetics, Vol-SMC12, No.3, pp.250–258, 1982CrossRefGoogle Scholar
  3. [3]
    Givert, D. and Hasegawa, T., “An Interactive Environment Modeling System with Spatial Reasoning”, Proc. of ’87 International Conference on Advanced Robotics, pp.199–208, Versailles, Oct. 1987Google Scholar
  4. [4]
    Ogasawara, T., “ETL Lisp Reference Manual”, ETL Research Memorandum, RM-87-08E, 1987Google Scholar
  5. [5]
    Ogasawara, T., “Introduction to RGEOMAP”, ETL Research Memorandum, RM-86-06E, 1986Google Scholar
  6. [6]
    Hasegawa, T., “Three Dimensional Data Acquisition System for Robots”, Electrical Engineering in Japan, Vol.107, No.6, pp.42–49, Scripta Technica — John Wiley & Sons, 1988CrossRefGoogle Scholar
  7. [7]
    Hasegawa, T., “Modeling of Manipulation Environment Using Geometric Shape Description of Objects”, Proc. 27th Annual Conf. of Soc. of Inst. & Contri. Eng. of Japan, (SICE ’88), Narashino JAPAN, Aug. 1988Google Scholar
  8. [8]
    Ishii, M., Sakane, S., Kakikura, M. and Mikami, Y., “A New Approach to Improve Absolute Positioning Accuracy of Robot Manipulators”, Journal of Robotic Systems, Vol.4, No.1, pp 145–156, 1987CrossRefGoogle Scholar
  9. [9]
    Suehiro, T. and Takase, K., “A Manipulation System Based on Direct-Computational Task-Coordinate Servoing”, Proc. 2nd Int. Symp. Robotics Research, Kyoto, 1984Google Scholar
  10. [10]
    Hasegawa, T. and Terasaki, H., “Collision Avoidance : Divide-and-Conquer Approach by Determining Intermediate Goals”, Proc. of ’87 International Conference on Advanced Robotics, pp.295–306, Versailles, Oct. 1987Google Scholar
  11. [11]
    Hasegawa, T., and Terasaki, H., “Collision Avoidance: Divide-and-Conquer Approach by Space Characterization and Intermediate Goals”, IEEE Trans. on Systems, Man, and Cybernetics, Vol.SMC-18, No.3, May/June 1988Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Tsutomu Hasegawa
    • 1
  • Takashi Suehiro
    • 1
  • Tsukasa Ogasawara
    • 1
  1. 1.Electrotechnical LaboratoryTsukuba 305Japan

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