Volume 20, Issue 1
  • ISSN 1572-0373
  • E-ISSN: 1572-0381
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Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence (AI) provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules should be given for the robot designers to include ethics for certain application while risks should be evaluated during the experiment test. To make efficient decision, safety design with AI technology should be put on agenda for roboticists. Except from the risks, ethics raise many challenges while most of them can be solved by developing technologies while some of the problems exist in human’s society which also raise the questions for the human beings. More broader vision should be taken from different social departments together to avoid the possible embarrassed issues. It’s time to welcome the world of robotics and related techniques will make life more efficient while human-robot coexistence society will come one day and law should be imposed on both.


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  1. Alfi, A., A. Bakhshi, M. Yousefi, and H. A. Talebi
    (2016) “Design and implementation of robust-fixed structure controller for telerobotic systems,” Journal of Intelligent & Robotic Systems, vol.83, no.2, pp.253–269. 10.1007/s10846‑016‑0335‑2
    https://doi.org/10.1007/s10846-016-0335-2 [Google Scholar]
  2. Bendel, O.
    (2016) “Sex Robots from the Perspective of Machine Ethics,” inLOVE AND SEX WITH ROBOTS, LSR 2016, ser. Lecture Notes in Artificial Intelligence, Cheok, A. D. and Devlin, K. and Levy, D., Ed., vol.10237 2017, pp.17–26, 2nd International Conference on Love and Sex with Robots (LSR), London, ENGLAND, DEC 19–20. 10.1007/978‑3‑319‑57738‑8_2
    https://doi.org/10.1007/978-3-319-57738-8_2 [Google Scholar]
  3. Deng, B.
    (2015) “Machine ethics: The robot’s dilemma,” Nature, vol.523, no.7558, pp.24–26. 10.1038/523024a
    https://doi.org/10.1038/523024a [Google Scholar]
  4. Etzioni, A. and O. Etzioni
    (2017) “The ethics of robotic caregivers,” Interaction Studies, vol.18, no.2, pp.174–190. 10.1075/is.18.2.02etz
    https://doi.org/10.1075/is.18.2.02etz [Google Scholar]
  5. He, W. and S. Zhang
    (2017) “Control design for nonlinear flexible wings of a robotic aircraft,” IEEE Transactions on Control Systems Technology, vol.25, no.1, pp.351–357. 10.1109/TCST.2016.2536708
    https://doi.org/10.1109/TCST.2016.2536708 [Google Scholar]
  6. Huang, R., H. Cheng, Q. Chen, H. T. Tran, and X. Lin
    (2015) “Interactive learning for sensitivity factors of a human-powered augmentation lower exoskeleton,” inIEEE International Conference on Intelligent Robots and Systems, pp.6409–6415.
    [Google Scholar]
  7. Huang, R., H. Cheng, H. Guo, Q. Chen, and X. Lin
    (2016) “Hierarchical interactive learning for a human-powered augmentation lower exoskeleton,” inIEEE International Conference on Robotics and Automation, pp.257–263.
    [Google Scholar]
  8. Huang, B., Z. Li, X. Wu, A. Ajoudani, A. Bicchi, and J. Liu
    (2017) “Coordination control of a dual-arm exoskeleton robot using human impedance transfer skills,” IEEE Transactions on Systems Man & Cybernetics Systems, doi:  10.1109/TSMC.2017.2706694
    https://doi.org/10.1109/TSMC.2017.2706694 [Google Scholar]
  9. Huang, D., C. Yang, N. Wang, A. Annamalai, and C. Y. Su
    (2018) “Online robot reference trajectory adaptation for haptic identification of unknown force field,” International Journal of Control Automation & Systems, no.6, pp.1–9.
    [Google Scholar]
  10. Lecun, Y., Y. Bengio, and G. Hinton
    (2015) “Deep learning,” Nature, vol.521, no.7553, p.436. 10.1038/nature14539
    https://doi.org/10.1038/nature14539 [Google Scholar]
  11. Lin, P., K. Abney, and G. Bekey
    (2011) “Robot ethics: Mapping the issues for a mechanized world,” Artificial Intelligence, vol.175, no.5, pp.942–949. 10.1016/j.artint.2010.11.026
    https://doi.org/10.1016/j.artint.2010.11.026 [Google Scholar]
  12. Liu, H., D. Guo, and F. Sun
    (2016) “Object recognition using tactile measurements: Kernel sparse coding methods,” IEEE Transactions on Instrumentation and Measurement, vol.65, no.3, pp.656–665. 10.1109/TIM.2016.2514779
    https://doi.org/10.1109/TIM.2016.2514779 [Google Scholar]
  13. Liu, H., Y. Yu, F. Sun, and J. Gu
    (2017) “Visual-tactile fusion for object recognition,” IEEE Transactions on Automation Science and Engineering, vol.14, no.2, pp.996–1008. 10.1109/TASE.2016.2549552
    https://doi.org/10.1109/TASE.2016.2549552 [Google Scholar]
  14. Liu, H., Y. Wu, F. Sun, B. Fang, and D. Guo
    (2017) “Weakly paired multimodal fusion for object recognition,” IEEE Transactions on Automation Science and Engineering, doi:  10.1109/TASE.2017.2692271
    https://doi.org/10.1109/TASE.2017.2692271 [Google Scholar]
  15. Liu, X., C. Yang, Z. Chen, M. Wang, and C. Y. Su
    (2018) “Neuro-adaptive observer based control of flexible joint robot,” Neurocomputing, vol.275, pp.73–82. 10.1016/j.neucom.2017.05.011
    https://doi.org/10.1016/j.neucom.2017.05.011 [Google Scholar]
  16. Mohammadi, L., A. Alfi, and B. Xu
    (2017) “Robust bilateral control for state convergence in uncertain teleoperation systems with time-varying delay: a guaranteed cost control design,” Nonlinear Dynamics, vol.88, no.2, pp.1–14. 10.1007/s11071‑016‑3319‑7
    https://doi.org/10.1007/s11071-016-3319-7 [Google Scholar]
  17. Pagallo, U.
    (2017, DEC). “When Morals Ain’t Enough: Robots, Ethics, and the Rules of the Law,” MINDS AND MACHINES, vol.27, no.4, pp.625–638. 10.1007/s11023‑017‑9418‑5
    https://doi.org/10.1007/s11023-017-9418-5 [Google Scholar]
  18. Sharkey, A. and N. Sharkey
    (2011) “Children, the elderly, and interactive robots,” IEEE Robotics & Automation Magazine, vol.18, no.1, pp.32–38. 10.1109/MRA.2010.940151
    https://doi.org/10.1109/MRA.2010.940151 [Google Scholar]
  19. Shim, H.
    (2007) “Establishing a Korean robot ethics charter,” inIEEE Int. Conf. on Robotics and Automation Workshop on Roboethics, Rome.
    [Google Scholar]
  20. Sparrow, R. and M. Howard
    (2017, JUL). “When human beings are like drunk robots: Driverless vehicles, ethics, and the future of transport,” TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, vol.80, pp.206–215. 10.1016/j.trc.2017.04.014
    https://doi.org/10.1016/j.trc.2017.04.014 [Google Scholar]
  21. van der Plas, A., M. Smits, and C. Wehrmann
    (2010) “Beyond Speculative Robot Ethics: A Vision Assessment Study on the Future of the Robotic Caretaker,” ACCOUNTABILITY IN RESEARCH-POLICIES AND QUALITY ASSURANCE, vol.17, no.6, SI, pp.299–315.
    [Google Scholar]
  22. van Wynsberghe, A.
    (2013) “A method for integrating ethics into the design of robots,” INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL, vol.40, no.5, pp.433–440. 10.1108/IR‑12‑2012‑451
    https://doi.org/10.1108/IR-12-2012-451 [Google Scholar]
  23. (2016) “Service robots, care ethics, and design,” ETHICS AND INFORMATION TECHNOLOGY, vol.18, no.4, SI, pp.311–321. 10.1007/s10676‑016‑9409‑x
    https://doi.org/10.1007/s10676-016-9409-x [Google Scholar]
  24. Vandemeulebroucke, T., B. D. de Casterle, and C. Gastmans
    (2018, JAN). “The use of care robots in aged care: A systematic review of argument-based ethics literature,” ARCHIVES OF GERONTOLOGY AND GERIATRICS, vol.74, pp.15–25. 10.1016/j.archger.2017.08.014
    https://doi.org/10.1016/j.archger.2017.08.014 [Google Scholar]
  25. Veruggio, G.
    (2005) “The birth of roboethics,” inIEEE Int. Conf. on Robotics and Automation Workshop on Roboethics, Barcelona.
    [Google Scholar]
  26. Wallach, W.
    (2010, SEP). “Robot minds and human ethics: the need for a comprehensive model of moral decision making,” ETHICS AND INFORMATION TECHNOLOGY, vol.12, no.3, SI, pp.243–250. 10.1007/s10676‑010‑9232‑8
    https://doi.org/10.1007/s10676-010-9232-8 [Google Scholar]
  27. Weng, Y. H., C. H. Chen, and C. T. Sun
    (2007) “The legal crisis of next generation robots: on safety intelligence,” inInternational Conference on Artificial Intelligence and Law, pp.205–209.
    [Google Scholar]
  28. Weng, Y.-H.
    (2010) “Beyond Robot Ethics: On a Legislative Consortium for Social Robotics,” Advanced Rotics, vol.24, no.13, pp.1919–1926.
    [Google Scholar]
  29. Xu, B., C. Pradalier, A. Krebs, R. Siegwart, and F. Sun
    (2011) “Composite control based on optimal torque control and adaptive kriging control for the CRAB rover,” inIEEE International Conference on Robotics and Automation, pp.1752–1757.
    [Google Scholar]
  30. Xu, B.
    (2017) “Composite learning finite-time control with application to quadrotors,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi:  10.1109/TSMC.2017.2698473
    https://doi.org/10.1109/TSMC.2017.2698473 [Google Scholar]
  31. Xu, B. and P. Zhang
    (2017) “Composite learning sliding mode control of flexible-link manipulator,” Complexity, Article ID 9430259.
    [Google Scholar]
  32. Xu, Y., C. Yang, J. Zhong, N. Wang, and L. Zhao
    (2018) “Robot teaching by teleoperation based on visual interaction and extreme learning machine,” Neurocomputing, vol.275, pp.2093–2103. 10.1016/j.neucom.2017.10.034
    https://doi.org/10.1016/j.neucom.2017.10.034 [Google Scholar]
  33. Yang, C., K. Huang, H. Cheng, Y. Li, and C.-Y. Su
    (2017) “Haptic identification by ELM-controlled uncertain manipulator,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.47, no.8, pp.2398–2409. 10.1109/TSMC.2017.2676022
    https://doi.org/10.1109/TSMC.2017.2676022 [Google Scholar]
  34. Yang, C., X. Wang, Z. Li, Y. Li, and C.-Y. Su
    (2017) “Teleoperation control based on combination of wave variable and neural networks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol.47, no.8, pp.2125–2136. 10.1109/TSMC.2016.2615061
    https://doi.org/10.1109/TSMC.2016.2615061 [Google Scholar]
  35. Yang, C., C. Zeng, P. Liang, Z. Li, R. Li, and C.-Y. Su
    (2018) “Interface design of a physical human-robot interaction system for human impedance adaptive skill transfer,” IEEE Transactions on Automation Science and Engineering, vol.15, no.1, pp.329–340. 10.1109/TASE.2017.2743000
    https://doi.org/10.1109/TASE.2017.2743000 [Google Scholar]

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  • Article Type: Research Article
Keyword(s): artificial intelligence; contact level; ethics; human-robot interaction; risks

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