A new method for smooth trajectory planning of robot manipulators

By Alessandro Gasparetto, Vanni Zanotto. 2007

446 citations recorded by the source corpus.

Subfields: Computational Mechanics, Control and Systems Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/19c6020a67050849f1b6a09bfa5ba4230973d0b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ming‐Shyan Huang
2. Rong-Fong Fung
3. Y. Hsu
4. Paolo Boscariol
5. Mohamed Abderahim
6. Fares J. Abu-Dakka
7. Iyad F. Assad
8. Rasha M. Alkhdour

In Control and Systems Engineering

1. Mohamed Abderahim
2. Fares J. Abu-Dakka
3. Iyad F. Assad
4. Rasha M. Alkhdour
5. Paolo Boscariol
6. Ming‐Shyan Huang
7. Rong-Fong Fung
8. Y. Hsu

In Mechanical Engineering

1. Paolo Boscariol
2. Ming‐Shyan Huang
3. Rong-Fong Fung
4. Y. Hsu
5. Renato Vidoni
6. Albano Lanzutti
7. Mohamed Abderahim
8. Fares J. Abu-Dakka

Citations in the corpus

• Statistical evaluation of an evolutionary algorithm for minimum time trajectory planning problem for industrial robots (2017, methodology): “, cubic splines [25] (the focus in this paper), quartic splines [49], quintic splines [16], trigonometric splines [47], and synchronized trigonometric Scurves [30].”
• Minimum-Energy Point-to-Point Trajectory Planning for a Motor-Toggle Servomechanism (2012, methodology): “Gasparetto and Zanotto [7] presented a new methodology for fifth-order Bsplines and composed the overall trajectory to smooth trajectory planning of robot manipulators.”
• Path Planning and Trajectory Planning Algorithms: A General Overview (2015, methodology): “In [9, 11, 36–38] a minimum time-jerk trajectory planning technique is described, based upon two algorithms aimed at the minimization of an objective function, which is designed so as to ensure fastness in execution and smoothness of the trajectory at the same time.”