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A Concept for a HRC Workspace Using Proximity Sensors

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Interactive Collaborative Robotics (ICR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12336))

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Abstract

Human-Robot Collaboration (HRC) poses new challenges for robotic perception systems. This paper proposes a concept for HRC workspace augmented with capacitive proximity sensors and present methods for camera-less multi-human/multi-object detection, localization, and tracking based on proximity feedback. A gamified HRC experiment realizing shell-game is designed for evaluation purposes. Experimental results performed in the presented HRC setup verify that the proposed methods are able to detect, localize, and track objects using only the Capacitive Proximity Sensors (CPS) feedback.

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References

  1. ISO 10218–2: Robots and robotic devices - Safety requirements for industrial robots - Part 2: Robot systems and integration (2011)

    Google Scholar 

  2. ISO/TS 15066: Robots and robotic devices - Collaborative robots (2016)

    Google Scholar 

  3. Alagi, H., Navarro, S.E., Mende, M., Hein, B.: A versatile and modular capacitive tactile proximity sensor. In: 2016 IEEE Haptics Symposium (HAPTICS), pp. 290–296, April 2016. https://doi.org/10.1109/HAPTICS.2016.7463192

  4. Alenyà, G., Foix, S., Torras, C.: ToF cameras for active vision in robotics. Sen. Actuat. A Phys. 218, 10–22 (2014). https://doi.org/10.1016/j.sna.2014.07.014, https://linkinghub.elsevier.com/retrieve/pii/S0924424714003458

  5. Behroozpour, B., Sandborn, P.A.M., Wu, M.C., Boser, B.E.: Lidar system architectures and circuits. IEEE Commun. Mag. 55(10), 135–142 (2017). https://doi.org/10.1109/MCOM.2017.1700030. conference Name: IEEE Communications Magazine

    Article  Google Scholar 

  6. Grosz, B.J.: Collaborative systems. In: AAAI-94 Presidential Address, p. 19 (1996)

    Google Scholar 

  7. Haddadin, S., Albu-Schaffer, A., De Luca, A., Hirzinger, G.: Collision detection and reaction: a contribution to safe physical human-robot interaction. In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 3356–3363, September 2008. https://doi.org/10.1109/IROS.2008.4650764, iSSN: 2153-0866

  8. Huang, S., Alagi, H., Hein, B.: Model-based multiple object tracking using capacitive proximity sensors. In: 2nd Full-day Workshop on Progress in Ergonomic Physical Human-Robot Collaboration. p. 3. Macau, China (2019). wS-Paper

    Google Scholar 

  9. Navarro, S.E., et al.: Methods for safe human-robot-interaction using capacitive tactile proximity sensors. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1149–1154, November 2013. https://doi.org/10.1109/IROS.2013.6696495

  10. Rampa, V., Vicentini, F., Savazzi, S., Pedrocchi, N., Ioppolo, M., Giussani, M.: Safe human-robot cooperation through sensor-less radio localization. In: 2014 12th IEEE International Conference on Industrial Informatics (INDIN), pp. 683–689, July 2014. https://doi.org/10.1109/INDIN.2014.6945596, ISSN: 2378-363X

  11. Sadrfaridpour, B., Wang, Y.: Collaborative assembly in hybrid manufacturing cells: an integrated framework for human-robot interaction. IEEE Trans. Autom. Sci. Eng. 15(3), 1178–1192 (2018). https://doi.org/10.1109/TASE.2017.2748386

    Article  Google Scholar 

  12. Shi, J., Jimmerson, G., Pearson, T., Menassa, R.: Levels of human and robot collaboration for automotive manufacturing. In: Proceedings of the Workshop on Performance Metrics for Intelligent Systems. PerMIS 2012, pp. 95–100 Association for Computing Machinery, College Park, Maryland, March 2012. https://doi.org/10.1145/2393091.2393111, https://doi.org/10.1145/2393091.2393111

  13. Taipalus, T., Ahtiainen, J.: Human detection and tracking with knee-high mobile 2D LIDAR. In: 2011 IEEE International Conference on Robotics and Biomimetics, pp. 1672–1677, December 2011. https://doi.org/10.1109/ROBIO.2011.6181529

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Correspondence to Ilshat Mamaev .

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Mamaev, I., Alagi, H., Sóti, G., Hein, B. (2020). A Concept for a HRC Workspace Using Proximity Sensors. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2020. Lecture Notes in Computer Science(), vol 12336. Springer, Cham. https://doi.org/10.1007/978-3-030-60337-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-60337-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60336-6

  • Online ISBN: 978-3-030-60337-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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