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  A unifying framework for robot control with redundant DOFs

Peters, J., Mistry M, Udwadia F, Nakanishi, J., & Schaal, S. (2007). A unifying framework for robot control with redundant DOFs. Autonomous Robots, 24(1), 1-12. doi:10.1007/s10514-007-9051-x.

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Peters, J1, 2, Autor           
Mistry M, Udwadia F, Nakanishi, J, Autor
Schaal, S, Autor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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 Zusammenfassung: Recently, Udwadia (Proc. R. Soc. Lond. A 2003:1783–1800, 2003) suggested to derive tracking controllers for mechanical systems with redundant degrees-of-freedom (DOFs) using a generalization of Gauss’ principle of least constraint. This method allows reformulating control problems as a special class of optimal controllers. In this paper, we take this line of reasoning one step further and demonstrate that several well-known and also novel nonlinear robot control laws can be derived from this generic methodology. We show experimental verifications on a Sarcos Master Arm robot for some of the derived controllers. The suggested approach offers a promising unification and simplification of nonlinear control law design for robots obeying rigid body dynamics equations, both with or without external constraints, with over-actuation or underactuation, as well as open-chain and closed-chain kinematics.

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 Datum: 2007-10
 Publikationsstatus: Erschienen
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Titel: Autonomous Robots
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: 24 (1) Artikelnummer: - Start- / Endseite: 1 - 12 Identifikator: -