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