Abstract
The human arm is capable of performing fast targeted movements with high precision, say in pointing with a mouse cursor, but is inherently ‘soft’ due to the muscles, tendons and other tissues of which it is composed. Robot arms are also becoming softer, to enable robustness when operating in real-world environments, and to make them safer to use around people. But softness comes at a price, typically an increase in the complexity of the control required for a given task speed/accuracy requirement. Here we explore how fast and precise joint movements can be simply and effectively performed in a soft robot arm, by taking inspiration from the human arm. First, viscoelastic actuator-tendon systems in an agonist-antagonist setup provide joints with inherent damping, and stiffness that can be varied in real-time through co-contraction. Second, a light-weight and learnable inverse model for each joint enables a fast ballistic phase that drives the arm close to a desired equilibrium point and co-contraction tuple, while the final adjustment is done by a feedback controller. The approach is embodied in the GummiArm, a robot which can almost entirely be printed on hobby-grade 3D printers. This enables rapid and iterative co-exploration of ‘brain’ and ‘body’, and provides a great platform for developing adaptive and bio-inspired behaviours.
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References
Flash, T.: The control of hand equilibrium trajectories in multi-joint arm movements. Biol. Cybern. 57(4–5), 257–274 (1987)
Kistemaker, D.A., Van Soest, A.K.J., Bobbert, M.F.: Is equilibrium point control feasible for fast goal-directed single-joint movements? J. Neurophysiol. 95(5), 2898–2912 (2006)
Gribble, P.L., Mullin, L.I., Cothros, N., Mattar, A.: Role of cocontraction in arm movement accuracy. J. Neurophysiol. 89(5), 2396–2405 (2003)
Wolpert, D.M., Miall, R.C., Kawato, M.: Internal models in the cerebellum. Trends Cogn. Sci. 2(9), 338–347 (1998)
Rus, D., Tolley, M.T.: Design, fabrication and control of soft robots. Nature 521(7553), 467–475 (2015)
Pfeifer, R., Lungarella, M., Iida, F.: The challenges ahead for bio-inspired ‘soft’ robotics. Commun. ACM 55(11), 76–87 (2012)
Mazzolai, B., Margheri, L., Cianchetti, M., Dario, P., Laschi, C.: “Soft-robotic arm inspired by the octopus: II. From artificial requirements to innovative technological solutions. Bioinspiration Biomimetics 7(2), 025005 (2012)
Pratt, G.A., Williamson, M.M.: Series elastic actuators. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 1, pp. 399–406 (1995)
Quigley, M., Asbeck, A., Ng, A.: A low-cost compliant 7-DOF robotic manipulator. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 6051–6058, May 2011
Vanderborght, B., et al.: Variable impedance actuators: a review. Robot. Auton. Syst. 61(12), 1601–1614 (2013)
Bicchi, A., Tonietti, G., Bavaro, M., Piccigallo, M.: Variable stiffness actuators for fast and safe motion control. In: Dario, P., Chatila, R. (eds.) The Eleventh International Symposium on Robotics Research. STAR, vol. 15, pp. 527–536. Springer, Heidelberg (2005)
Catalano, M.G., Grioli, G., Garabini, M., Bonomo, F., Mancini, M., Tsagarakis, N., Bicchi, A.: VSA-CubeBot: a modular variable stiffness platform for multiple degrees of freedom robots. In: IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 5090–5095 (2011)
Grebenstein, M., et al.: The DLR hand arm system. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 3175–3182 (2011)
Petit, F., Dietrich, A., Albu-Schaffer, A.: Generalizing torque control concepts: using well-established torque control methods on variable stiffness robots. IEEE Robot. Autom. Mag. 22(4), 37–51 (2015)
Radulescu, A., Howard, M., Braun, D.J., Vijayakumar, S.: Exploiting variable physical damping in rapid movement tasks. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp. 141–148 (2012)
Kashiri, N., Tsagarakis, N.G., Van Damme, M., Vanderborght, B., Caldwell, D.G.: Proxy-based sliding mode control of compliant joint manipulators. In: Filipe, J., Gusikhin, O., Madani, K., Sasiadek, J. (eds.) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol. 370, pp. 241–257. Springer, Heidelberg (2016)
Cangelosi, A., Schlesinger, M.: Developmental Robotics: From Babies to Robots. MIT Press, Cambridge (2015)
Pfeifer, R., Marques, H.G., Iida, F.: Soft robotics: the next generation of intelligent machines. In: Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, pp. 5–11 (2013)
Metta, G., Sandini, G., Vernon, D., Natale, L., Nori, F.: The iCub humanoid robot: an open platform for research in embodied cognition. In: Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, pp. 50–56 (2008)
Petit, F., Ott, C., Albu-Schaffer, A.: A model-free approach to vibration suppression for intrinsically elastic robots. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 2176–2182 (2014)
Lapeyre, M., Rouanet, P., Grizou, J., Nguyen, S., Depraetre, F., et al.: Poppy Project: Open-Source Fabrication of 3D Printed Humanoid Robot for Science, Education and Art, Digital Intelligence 2014, September 2014, Nantes, France, p. 6 (2014). https://hal.inria.fr/hal-01096338
NASA, Man-Systems Integration Standards - Revison B. National Aeronautics, Space Administration: Houston, USA (1995). http://msis.jsc.nasa.gov/
Chou, C.P., Hannaford, B.: Measurement and modeling of McKibben pneumatic artificial muscles. IEEE Trans. Rob. Autom. 12(1), 90–102 (1996)
Ham, R.V., Sugar, T.G., Vanderborght, B., Hollander, K.W., Lefeber, D.: Compliant actuator designs. IEEE Rob. Autom. Mag. 16(3), 81–94 (2009)
Hallett, M.A.R.K., Marsden, C.D.: Ballistic flexion movements of the human thumb. J. Physiol. 294, 33–50 (1979)
Grioli, G., et al.: Variable stiffness actuators: the user’s point of view. Int. J. Rob. Res. 34(6), 727–743 (2015)
Bruyninckx, H.: Open robot control software: the OROCOS project. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 2523–2528 (2001)
Acknowledgments
This work was funded by a Marie Curie Intra-European Fellowship within the 7th European Community Framework Programme (DeCoRo FP7-PEOPLE-2013-IEF).
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Stoelen, M.F., Bonsignorio, F., Cangelosi, A. (2016). Co-exploring Actuator Antagonism and Bio-inspired Control in a Printable Robot Arm. In: Tuci, E., Giagkos, A., Wilson, M., Hallam, J. (eds) From Animals to Animats 14. SAB 2016. Lecture Notes in Computer Science(), vol 9825. Springer, Cham. https://doi.org/10.1007/978-3-319-43488-9_22
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DOI: https://doi.org/10.1007/978-3-319-43488-9_22
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