Abstract
Model-based control techniques, which use a model of robot dynamics to compute force/torque control commands, have a proven record for achieving accuracy and compliance in force-controllable robot manipulators. However, applying such methods to humanoid and legged systems has yet to happen due to challenges such as: 1) under-actuation inherent in these floating base systems, 2) dynamically changing contact states with potentially unknown contact forces, 3) and the difficulty of accurately modeling these high degree of freedom systems, especially with inadequate sensing. In this work, we present a relatively simple technique for fullbody model-based control and estimation of humanoid robot, using an orthogonal decomposition of rigid-body dynamics. Doing so simplifies the problem by reducing control and estimation to only those variables critical for the task. We present some of our recent evaluations of our approaches on the CarnegieMellon/Sarcos hydraulic force-controllable humanoid robot, engaging in dynamic tasks with contact state changes, such as standing up from a chair.
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References
Aghili, F.: A unified approach for inverse and direct dynamics of constrained multibody systems based on linear projection operator: applications to control and simulation. IEEE Transactions on Robotics 21(5), 834–849 (2005)
Atkeson, C., An, C., Hollerbach, J.: Estimation of inertial parameters of manipulator loads and links. The International Journal of Robotics Research (1986)
Ayusawa, K., Venture, G., Nakamura, Y.: Identification of the inertial parameters of a humanoid robot using unactuated dynamics of the base link. In: 8th IEEE-RAS International Conference on Humanoid Robots, pp. 1–7 (2008)
Ayusawa, K., Venture, G., Nakamura, Y.: Symbolic proof of inertia-parameter identifiability of legged mechanisms from unactuated base-link dynamics. In: Proceedings of the 15th IFAC Symposium on System Identification (2009)
Flashner, H.: An orthogonal decomposition approach to modal synthesis. International Journal for Numerical Methods in Engineering 23(3), 471–493 (1986)
Khalil, W., Dombre, E.: Modeling, Identification, and Control of Robots. Kogan Page Science, London and Sterling (2002)
Khatib, O.: A unified approach for motion and force control of robot manipulators: The operational space formulation. IEEE Journal of Robotics and Automation 3(1), 43–53 (1987)
Mayeda, H., Osuka, K., Kanagawa, A.: A new identification method for serial manipulator arms. In: Preceedings of the IFAC 9th World Congress, vol. 2, pp. 74–79 (1984)
Mistry, M., Buchli, J., Schaal, S.: Inverse dynamics control of floating base systems using orthogonal decomposition. In: IEEE Int. Conference on Robotics and Automation, pp. 3406–3412 (2010)
Mistry, M., Murai, A., Yamane, K., Hodgins, J.: Sit-to-stand task on a humanoid robot from human demonstration. In: 10th IEEE-RAS International Conference on Humanoid Robots, pp. 218–223 (2010)
Mistry, M., Schaal, S., Yamane, K.: Inertial parameter estimation of floating base humanoid systems using partial force sensing. In: 9th IEEE-RAS International Conference on Humanoid Robots, pp. 492–497 (2009)
Murai, A., Yamane, K., Nakamura, Y.: Modeling and identifying the somatic reflex network of the human neuromuscular system. In: Proceedings of the 29th IEEE EMBS Annual International Conference, Lyon, FRANCE (2007)
Nakamura, Y., Yamane, K., Murai, A.: Macroscopic modeling and identification of the human neuromuscular network. In: Proceedings of the 28th IEEE EMBS Annual International Conference, pp. 99–105 (2006)
Nakanishi, J., Cory, R., Mistry, M., Peters, J., Schaal, S.: Operational space control: A theoretical and empirical comparison. The International Journal of Robotics Research 27(6), 737–757 (2008)
Nakanishi, J., Mistry, M., Schaal, S.: Inverse dynamics control with floating base and constraints. In: IEEE Int. Conference on Robotics and Automation, pp. 1942–1947 (2007)
Papa, E., Cappozzo, A.: Sit-to-stand motor strategies investigated in able-bodied young and elderly subjects. J. Biomechanics 33(9), 1113–1122 (2000)
Park, J.H., Khatib, O.: Contact consistent control framework for humanoid robots. In: IEEE Int. Conference on Robotics and Automation, pp. 1963–1969 (2006)
Scholz, J.P., Schöner, G.: The uncontrolled manifold concept: identifying control variables for a functional task. Exp. Brain Res. 126(3), 289–306 (1999)
Sentis, L., Khatib, O.: Control of free-floating humanoid robots through task prioritization. In: IEEE Int. Conference on Robotics and Automation, pp. 1718–1723 (2005)
Yamane, K., Nakamura, Y.: Natural motion animation through constraining and deconstraining at will. IEEE Transaction on Visualization and Computer Graphics 9, 352–360 (2003)
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Mistry, M., Murai, A., Yamane, K., Hodgins, J. (2014). Model-Based Control and Estimation of Humanoid Robots via Orthogonal Decomposition. In: Khatib, O., Kumar, V., Sukhatme, G. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28572-1_58
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DOI: https://doi.org/10.1007/978-3-642-28572-1_58
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