Abstract
To obtain an analytical solution of inverse kinematics in complex biomechanic linkages is a difficult, even impossible problem. This could be because the kinematic redundancy and the large number of degrees of freedom that it involves. EvoNorm is a smart optimization algorithm that can be useful to solve this kind of problems. For this reason, in this work a numerical solution of the inverse kinematics problem for biomechanical linkages is proposed. It is computed using EvoNorm by minimizing a fitness function based on the joints position. Two prototypes are presented as study cases: a hand and a lower-limb exoskeleton. Results illustrate the performance of the proposed methodology.
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References
Sorby, K.: Inverse kinematics of five-axis machines near singular configurations. Int. J. Mach. Tools Manuf. 47(2), 299–306 (2007)
Hasan, A.T., Hamouda, A.M.S., Ismail, N., Al-Assadi, H.M.A.A.: An adaptive-learning algorithm to solve the inverse kinematics problem of a 6 DOF serial robot manipulator. Adv. Eng. Softw. 37(7), 432–438 (2006)
Kalra, P., Mahapatra, P.B., Aggarwal, D.K.: An evolutionary approach for solving the multimodal inverse kinematics problem of industrial robots. Mech. Mach. Theory 41(10), 1213–1229 (2006)
KoKer, R.: A genetic algorithm approach to a neural-network-based inverse kinematics solution of robotic manipulators based on error minimization. Inf. Sci. 222, 528–543 (2013)
Duka, A.V.: Neural network based inverse kinematics solution for trajectory tracking of a robotic arm. Procedia Technol. 12, 20–27 (2014)
Tarmizi, W.F.B.W., Elamvazuthi, I., Begam, M.: Kinematic and dynamic modeling of a multi- fingered robot hand. Int. J. Basic Appl. Sci. IJBAS 9(10), 89–96 (2009)
Craig, J.J.: Introduction to Robotics. Prentice-Hall Inc., Englewood Cliffs (2006)
Tovar, M.: Diseño de un exoesqueleto de miembros inferiores de 14 grados de libertad y su aplicación para emular la locomoción humana, Tesis de Maestría en Ciencias, Universidad Autónoma de Nuevo León, Mexico
Alfredo, E., Flores, P.: Analisis cinematico y diseño de un mecanismo de cuatro barras para falange proximal de dedo antropomorfico, Ciencia e Ingeniería Neogranadina, vol. 20(1) (2010)
Ueda, J., Kondo, M., Ogasawara, T.: The multifingered NAIST hand system for robot in-hand manipulation. Mech. Mach. Theory 45, 224–238 (2010)
Barrientos, A., Peñin, L.F., Balaguer, C., Aracil, R.: Fundamentos de Robótica. McGraw-Hill/Interamericana de Espana S.A, Madrid (1997)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pachicano, G., Rodriguez-Liñan, A., Quiroz, G., Torres, L. (2018). Inverse Kinematics Estimation Based on Smart Optimization for Biomechanical Linkages. In: Torres Guerrero, F., Lozoya-Santos, J., Gonzalez Mendivil, E., Neira-Tovar, L., Ramírez Flores, P., Martin-Gutierrez, J. (eds) Smart Technology. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 213. Springer, Cham. https://doi.org/10.1007/978-3-319-73323-4_5
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DOI: https://doi.org/10.1007/978-3-319-73323-4_5
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