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Grounding of Uncertain Force Parameters in Spoken Robot Commands

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Advances in Service and Industrial Robotics (RAAD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 980))

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Abstract

Speech-based robot instruction is a promising field in private households and in small and medium-sized enterprises. It facilitates the use of robot systems for non-experts as well as experts, even while the user executes other tasks. Considering force-based robot motions, the common approach is to map verbs to robot motions depending on the tool and the work piece. While this method works well for a wide variety of applications, it limits the user to a fixed force for a given manipulation task and does not allow extensions like “hard” or “soft”. To overcome this drawback, we contribute an approach for a defuzzification of uncertain force parameters to numerical robot motions. To proof the reliability of our approach, we apply it on a motion with varying material parameters.

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References

  1. Knoll, A., et al.: Instructing cooperating assembly robots through situated dialogues in natural language. In: International Conference on Robotics and Automation (1997)

    Google Scholar 

  2. Norberto Pires, J.: Robot-by-voice: experiments on commanding an industrial robot using the human voice. Ind. Robot Int. J. 32(6), 505–511 (2005)

    Article  Google Scholar 

  3. Tellex, S., et al.: Understanding natural language commands for robotic navigation and mobile manipulation. In: AAAI, vol. 1 (2011)

    Google Scholar 

  4. Spangenberg, M., Henrich, D.: Towards an intuitive interface for instructing robots handling tasks based on verbalized physical effects. In: IEEE International Symposium on Robot and Human Interactive Communication (2014)

    Google Scholar 

  5. Muthugala, M.A.V.J., et al.: A review of service robots coping with uncertain information in natural language instructions. IEEE Access 6, 12913–12928 (2018)

    Article  Google Scholar 

  6. Schiffer, S., Ferrein, A., Lakemeyer, G.: Reasoning with qualitative positional information for domestic domains in the situation calculus. J. Intell. Robot. Syst. 66(1–2), 273–300 (2012)

    Article  Google Scholar 

  7. Jayasekara, A.G.B.P., Watanabe, K., Izumi, K.: Understanding user commands by evaluating fuzzy linguistic information based on visual attention. Artif. Life Robot. 14(1), 48–52 (2009)

    Article  Google Scholar 

  8. Muthugala, M.A.V.J., et al.: Enhancing human-robot interaction by interpreting uncertain information in navigational commands based on experience and environment. In: International Conference on Robotics and Automation (ICRA) (2016)

    Google Scholar 

  9. Pulasinghe, K., et al.: Modular fuzzy-neuro controller driven by spoken language commands. IEEE Trans. Syst. Man Cybern. 34(1), 293–302 (2004)

    Article  Google Scholar 

  10. Lin, C.-T., Kan, M.-C.: Adaptive fuzzy command acquisition with reinforcement learning. IEEE Trans. Fuzzy Syst. 6(1), 102–121 (1998)

    Article  Google Scholar 

  11. Skubic, M., et al.: Spatial language for human-robot dialogs. IEEE Trans. Syst. Man Cybern. 34(2), 154–167 (2004)

    Article  Google Scholar 

  12. Jayawardena, C., Watanabe, K., Izumi, K.: Learning of object identification by robots commanded by natural language. In: 9th International Conference on Intelligent Autonomous Systems (IAS) (2006)

    Google Scholar 

  13. Muthugala, M.A.V.J., Jayasekara, A.G.B.P.: Synthesizing fuzzy linguistic vocal responses by adapting perception of robot based on visual attention. In: 7th International Conference on Information and Automation for Sustainability (2014)

    Google Scholar 

  14. Jayawardena, C., Watanabe, K., Izumi, K.: Posture control of robot manipulators with fuzzy voice commands using a fuzzy coach-player system. Adv. Robot. 21(3–4), 293–328 (2007)

    Article  Google Scholar 

  15. Jayasekara, A.G.B.P., et al.: Interpreting fuzzy linguistic information by acquiring robot’s experience based on internal rehearsal. J. Syst. Des. Dyn. 4(2), 297–313 (2010)

    Google Scholar 

  16. Zadeh, L.A.: Fuzzy logic= computing with words. IEEE Trans. Fuzzy Syst. 4(2), 103–111 (1996)

    Article  Google Scholar 

  17. Wölfel, K., Henrich, D.: Grounding verbs for tool-dependent, sensor-based robot tasks. In: 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) (2018)

    Google Scholar 

  18. Pfalzgraf, A., et al.: ODP-Ontology-based Dialogue Platform. Technical report (2008)

    Google Scholar 

  19. DIN EN ISO 868: Plastics and ebonite-Determination of indentation hardness by means of a durometer (Shore hardness) (2003)

    Google Scholar 

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Acknowledgements

This work has partly been supported by Deutsche Forschungsgemeinschaft (DFG) under grant agreement He2696-18.

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Correspondence to Kim Wölfel .

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Wölfel, K., Henrich, D. (2020). Grounding of Uncertain Force Parameters in Spoken Robot Commands. In: Berns, K., Görges, D. (eds) Advances in Service and Industrial Robotics. RAAD 2019. Advances in Intelligent Systems and Computing, vol 980. Springer, Cham. https://doi.org/10.1007/978-3-030-19648-6_23

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