Abstract
Virtual guides are used in human-robot cooperation to support a human performing manipulation tasks. They can act as guidance constrains to assist the user to move in the preferred direction or along desired path, or as forbidden-region constraint which prevent him to move into restricted region of the robot workspace. In this paper we proposed a novel framework that unifies virtual guides using virtual robot approach, which is represented with the admittance control, where a broad class of virtual guides and constraints can be implemented. The dynamic properties and the constraints of the virtual robot can be defined using three sets of parameters and variables: desired motion variables, dynamic parameters (stiffness, damping and inertia) and dead-zones. To validate the approach we implemented it on a KUKA LWR robot for the Buzz-Wire tasks, where the goal is to move a ring along a curved wire.
This work was supported by EU Horizon 2020 Programme grant 680431, ReconCell, and Slovenian Research Agency grant P2-0076.
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Notes
- 1.
With subscript \((.)_d\) we denote the desired value of the variable.
References
Abbott, J.J., Marayong, P., Okamura, A.M.: Haptic virtual fixtures for robot-assisted manipulation. In: Robotics Research, pp. 49–64 (2007)
Bettini, A., Marayong, P., Lang, S., Okamura, A., Hager, G.D.: Visual assisted control for manipulation using virtual fixtures. IEEE Trans. Robot. 20(6), 953–966 (2004)
Bicchi, A., Peshkin, M.A., Colgate, J.E.: Safety for physical human robot interaction. In: Springer Handbook of Robotics, pp. 1335–1348. Springer, Heidelberg (2008)
Bowyer, S.A., Davies, B.L., Rodriguez y Baena, F.: Active constraints/virtual fixtures: a survey. IEEE Trans. Robot. 30(1), 138–157 (2014)
De Santis, A., Siciliano, B., De Luca, A., Bicchi, A.: An atlas of physical human-robot interaction. Mech. Mach. Theory 43(3), 253–270 (2008)
Duchaine, V., Gosselin, C.M.: General model of human-robot cooperation using a novel velocity based variable impedance control. In: Proceedings of Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems, World Haptics 2007, pp. 445–451 (2007)
Duchaine, V., Mayer St-Onge, B., Gao, D., Gosselin, C.: Stable and intuitive control of an intelligent assist device. IEEE Trans. Haptics 5(2), 148–159 (2012)
Haddadin, S., Croft, E.: Physical human robot interaction. In: Springer Handbook of Robotics, pp. 1835–1874. Springer, Cham (2016)
Hager, G.D.: Human-machine cooperative manipulation with vision-based motion constraints. In: Lecture Notes in Control and Information Sciences 401, pp. 55–70 (2010)
Ikemoto, S., Amor, H.H.H., Minato, T., Jung, B., Ishiguro, H.: Physical human-robot interaction: mutual learning and adaptation. IEEE Robot. Autom. Mag. 19(4), 24–35 (2012)
Kragic, D., Marayong, P., Li, M., Okamura, A.M., Hager, G.D.: Human-machine collaborative systems for microsurgical applications. Int. J. Robot. Res. 24(9), 731–741 (2005)
Lecours, A., Mayer-St-Onge, B., Gosselin, C.: Variable admittance control of a four-degree-of-freedom intelligent assist device. In: Proceedings of IEEE International Conference on Robotics and Automation, no. 2, pp. 3903–3908 (2012)
Mörtl, A., Lawitzky, M., Kucukyilmaz, A., Sezgin, M., Basdogan, C., Hirche, S.: The role of roles: physical cooperation between humans and robots. Int. J. Robot. Res. 31(13), 1656–1674 (2012)
Nemec, B., Likar, N., Gams, A., Ude, A.: Human robot cooperation with compliance adaptation along the motion trajectory. Auton. Robots (2017)
Ott, C., Mukherjee, R., Nakamura, Y.: Unified impedance and admittance control. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 554–561 (2010)
Peternel, L., Petrič, T., Oztop, E., Babič, J.: Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach. Auton. Robots 36(1–2), 123–136 (2014)
Petrič, T., Goljat, R., Babič, J.: Cooperative human-robot control based on Fitts’ law. In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pp. 345–350. IEEE, November 2016
Pezzementi, Z., Okamura, A.M., Hager, G.D.: Dynamic guidance with pseudoadmittance virtual fixtures. In: Proceedings 2007 IEEE International Conference on Robotics and Automation, pp. 1761–1767. IEEE, April 2007
Raiola, G., Lamy, X., Stulp, F.: Co-manipulation with multiple probabilistic virtual guides. In: IEEE International Conference on Intelligent Robots and Systems 2015, pp. 7–13, December 2015
Ranatunga, I., Lewis, F., Popa, D.O., Tousif, S.M.: Adaptive admittance control for human-robot interaction using model reference design and adaptive inverse filtering. IEEE Trans. Control Syst. Technol. 1–10 (2016)
Rosenberg, L.: Virtual fixtures: perceptual tools for telerobotic manipulation. In: Proceedings of IEEE Virtual Reality Annual International Symposium, pp. 76–82 (1993)
Siciliano, B., Sciavicco, L., Villani, L., Oriolo, G.: Robotics - Modelling, Planning and Control. Springer, London (2009)
Žlajpah, L.: Kinematic control of redundant robots in changing task space. In: Proceedings of 25th International Workshop on Robotics in Alpe–Adria–Danube Region, Belgrade, Serbia (2016)
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Žlajpah, L., Petrič, T. (2019). Virtual Guides for Redundant Robots Using Admittance Control for Path Tracking Tasks. In: Aspragathos, N., Koustoumpardis, P., Moulianitis, V. (eds) Advances in Service and Industrial Robotics. RAAD 2018. Mechanisms and Machine Science, vol 67. Springer, Cham. https://doi.org/10.1007/978-3-030-00232-9_2
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