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Kinematics and dynamics motion planning by polar piecewise interpolation and geometric considerations

Authors: Dupac, M.

Journal: Electronic Notes in Discrete Mathematics

Volume: 67

Pages: 19-24

eISSN: 1571-0653

DOI: 10.1016/j.endm.2018.05.004

Abstract:

The importance of numerical methods in science and engineering [Chapra, S.C., and R.P. Canale, “Numerical Methods for Engineers,” McGraw-Hill, 6th Ed., 2010] was long recognised and considered a fundamental factor in improving productivity and reducing production costs. The ability to model flexible systems and describe their trajectories [Gasparetto A., Boscariol P., Lanzutti A., Vidoni R., Trajectory planning in Robotics, Mathematics in Computer Science 6 (2012), pp. 269–279] involves usually the study of nonlinear coupled partial differential equations. Since their exact solutions are not normally feasible in practice, computational methods [V. Kumar, M. Zefran, J.P. Ostrowski, Motion Planning and Control of Robots, Handbook of Industrial Robotics, 2nd Edition, J. Wiley and Sons (2007), pp. 295–315] can be considered.

https://eprints.bournemouth.ac.uk/30906/

Source: Scopus

Kinematics and dynamics motion planning by polar piecewise interpolation and geometric considerations

Authors: Dupac, M.

Editors: Bagdasar, O. and Popa, I.-L.

Journal: Electronic Notes in Discrete Mathematics

Volume: 67

Pages: 19-24

Publisher: Elsevier

ISSN: 1571-0653

DOI: 10.1016/j.endm.2018.05.004

https://eprints.bournemouth.ac.uk/30906/

https://www.journals.elsevier.com/electronic-notes-in-discrete-mathematics

Source: Manual

Kinematics and dynamics motion planning by polar piecewise interpolation and geometric considerations

Authors: Dupac, M.

Journal: Electronic Notes in Discrete Mathematics

Volume: 67

Issue: June

Pages: 19-24

ISSN: 1571-0653

Abstract:

The importance of numerical methods in science and engineering [Chapra, S.C., and R.P. Canale, “Numerical Methods for Engineers,” McGraw-Hill, 6th Ed., 2010] was long recognised and considered a fundamental factor in improving productivity and reducing production costs. The ability to model flexible systems and describe their trajectories [Gasparetto A., Boscariol P., Lanzutti A., Vidoni R., Trajectory planning in Robotics, Mathematics in Computer Science 6 (2012), pp. 269–279] involves usually the study of nonlinear coupled partial differential equations. Since their exact solutions are not normally feasible in practice, computational methods [V. Kumar, M. Zefran, J.P. Ostrowski, Motion Planning and Control of Robots, Handbook of Industrial Robotics, 2nd Edition, J. Wiley and Sons (2007), pp. 295–315] can be considered.

https://eprints.bournemouth.ac.uk/30906/

Source: BURO EPrints