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Towards human friendly robots: Vision-based interfaces and safe mechanisms

  • Chapter 12 Humanoid And Human Interaction
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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 250))

Abstract

To develop human friendly robots we required two key components; smart interfaces and safe mechanisms. Smart interfaces facilitate natural and easy interfaces for human-robot interaction. Facial gestures can be a natural way to control a robot. In this paper, we report on a vision-based interface that in real-time tracks a user’s facial features and gaze point. Human friendly robots must also have high integrity safety systems that ensure that people are never harmed. To guarantee human safety we require manipulator mechanisms in which all actuators are force controlled in a manner that prevents dangerous impacts with people and the environment. In this paper we present a control scheme for the Barrett-MIT whole arm manipulator (WAM) which allows people to safely interact with the robot.

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References

  1. A. Azarbayejani, T. Starner, B. Horowitz, and A. Pentland. Visually controlled graphics. IEEE Trans. on Pattern Analysis and Machine Intelligence, 15(6):602–605, 1993.

    Article  Google Scholar 

  2. A.Zelinsky and J.Heinzmann. Real-time Visual Recognition of Facial Gestures for Human Computer Interaction. In Proc. of the Int. Conf. on Automatic Face and Gesture Recognition, pages 351–356, 1996.

    Google Scholar 

  3. Black and Yaccob. Tracking and Recognizing Rigid and Non-rigid Facial Motions Using Parametric Models of Image Motion. In Proc. of Int. Conf. on Computer Vision (ICCV’95), pages 374–381, 1995.

    Google Scholar 

  4. J. Heinzmann and A. Zelinsky. 3-D Facil Pose and Gaze Poing Estimation using a Robust Real-Time Tracking Paradigm. In Proc. of the Int. Conf. on Automatic Face and Gesture Recognition, pages 142–147, 1998.

    Google Scholar 

  5. Par Keirkegaard. A Method for Detection of Circular Arcs Based on the Hough Transform. Machine Vision and Applications, 5:249–263, 1992.

    Article  Google Scholar 

  6. Y. Matsutmoto, T. Shibata, K. Sakai, M. Inaba, and H. Inoue. Real-time Color Stereo Vision System for a Mobile Robot based on Field Multiplexing. In Proc. of IEEE Int. Conf. on Robotics and Automation, pages 1934–1939, 1997.

    Google Scholar 

  7. W.T. Townsend and J.K. Salisbury. Mechanical Design for Whole-Arm Manipulation. In Robots and Biological Systems: Toward a New Bionics?, pages 153–164, 1993.

    Google Scholar 

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© 2000 Springer-Verlag London Limited

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Zelinsky, A., Matsumoto, Y., Heinzmann, J., Newman, R. (2000). Towards human friendly robots: Vision-based interfaces and safe mechanisms. In: Experimental Robotics VI. Lecture Notes in Control and Information Sciences, vol 250. Springer, London. https://doi.org/10.1007/BFb0119426

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  • DOI: https://doi.org/10.1007/BFb0119426

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-210-5

  • Online ISBN: 978-1-84628-541-7

  • eBook Packages: Springer Book Archive

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