Abstract
The control of humanoid robots has been extensively developed for their use in various environments possibly on difficult terrains. With such efforts, humanoid robots are now quite capable of operating in a very structured and well-known environment, especially on flat surface in indoor environment. However, the deployment of humanoid robots into real situations and applications is still limited because of the cases when there is still high risk of failures due to imperfect perception, planning, and control. To make up these limitations, a new control framework using human physical assistance may be developed. For example, robot can be assisted by human if there is very difficult terrain to traverse over. Then, the robot can move and navigate anywhere as necessary. As such, the use of the robot can be accelerated by overcoming difficult situations with the help of human assistance. In this paper, we would like to think about this kind of scenarios and what kind of control methods can be applied to develop this kind of capability.
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References
Negrello, F., Garabini, M., Catalano, M.G., Malzahn, J., Caldwell, D.G., Bicchi, A., Tsagarakis, N.G.: A modular compliant actuator for emerging high performance and fall-resilient humanoids. In: 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), pp. 414–420 (2015)
Pratt, G., Manzo, J.: The DARPA robotics challenge [competitions]. IEEE Robot. Autom. Mag. 20(2), 10–12 (2013)
COMANOID project. http://comanoid.cnrs.fr (2017). Accessed 25 June 2017
Space robotics challenge. https://www.nasa.gov/feature/space-robotics-challenge (2017). Accessed 23 June 2017
Koolen, T., Bertrand, S., Thomas, G., De Boer, T., Wu, T., Smith, J., Englsberger, J., Pratt, J.: Design of a momentum-based control framework and application to the humanoid robot Atlas. Int. J. Humanoid Robot. 13(01), 1650007 (2016)
Viteckova, S., Kutilek, P., Jirina, M.: Wearable lower limb robotics: a review. Biocybern. Biomed. Eng. 33(2), 96–105 (2013)
Lee, H., Hogan, N.: Essential considerations for design and control of human-interactive robots. In: IEEE International Conference on Robotics and Automation (ICRA), vol. 2016, pp. 3069–3074 (2016)
Navarro, B., Cherubini, A., Fonte, A., Passama, R., Poisson, G., Fraisse, P.: An ISO10218-compliant adaptive damping controller for safe physical human-robot interaction. In: IEEE International Conference on Robotics and Automation (ICRA), vol. 2016, pp. 3043–3048 (2016)
Holtzen, S., Zhao, Y., Gao, T., Tenenbaum, J.B., Zhu, S.-C.: Inferring human intent from video by sampling hierarchical plans. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2016, pp. 1489–1496 (2016)
Hu, N., Bestick, A., Englebienne, G., Bajscy, R., Kröse, B.: Human intent forecasting using intrinsic kinematic constraints. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2016, pp. 787–793 (2016)
Medina, J.R., Endo, S., Hirche, S.: Impedance-based gaussian processes for predicting human behavior during physical interaction. In: IEEE International Conference on Robotics and Automation (ICRA), vol. 2016, pp. 3055–3061 (2016)
Pellegrinelli, S., Admoni, H., Javdani, S., Srinivasa, S.: Human-robot shared workspace collaboration via hindsight optimization. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2016, pp. 831–838 (2016)
Berger, E., Vogt, D., Haji-Ghassemi, N., Jung, B., Amor, H.B.: Inferring guidance information in cooperative human-robot tasks. In: 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 124–129 (2013)
Gams, A., Ude, A.: On-line coaching of robots through visual and physical interaction: Analysis of effectiveness of human-robot interaction strategies. In: IEEE International Conference on Robotics and Automation (ICRA), vol. 2016, pp. 3028–3034 (2016)
Johannsmeier, L., Haddadin, S.: A hierarchical human-robot interaction-planning framework for task allocation in collaborative industrial assembly processes. IEEE Robot. Autom. Lett. 2(1), 41–48 (2017)
Kajita, S., Morisawa, M., Miura, K., Nakaoka, S., Harada, K., Kaneko, K., Kanehiro, F., Yokoi, K.: Biped walking stabilization based on linear inverted pendulum tracking. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 2010, pp. 4489–4496 (2010)
Hof, A., Gazendam, M., Sinke, W.: The condition for dynamic stability. J. Biomech. 38(1), 1–8 (2005)
Padois, V., Ivaldi, S., Babič, J., Mistry, M., Peters, J., Nori, F.: Whole-body multi-contact motion in humans and humanoids: advances of the CoDyCo european project. Robot. Auton. Syst. 90, 97–117 (2017)
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Park, J., Lee, Y., Kim, M., Hwang, S., Jung, J., Kim, J. (2020). Human-Assisted Humanoid Robot Control. In: Amato, N., Hager, G., Thomas, S., Torres-Torriti, M. (eds) Robotics Research. Springer Proceedings in Advanced Robotics, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-28619-4_11
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DOI: https://doi.org/10.1007/978-3-030-28619-4_11
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