Optimal control of the industrial robot Manutec r3
Computational optimal control
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Journal of Intelligent and Robotic Systems
Control of an Industrial Robot using Acceleration Feedback
Journal of Intelligent and Robotic Systems
A technique for time-jerk optimal planning of robot trajectories
Robotics and Computer-Integrated Manufacturing
Evolutionary multi-criteria trajectory modeling of industrial robots in the presence of obstacles
Engineering Applications of Artificial Intelligence
Dissociated jerk-limited trajectory applied to time-varying vibration reduction
Robotics and Computer-Integrated Manufacturing
Design and implementation of an ERLS-based 3-D dynamic formulation for flexible-link robots
Robotics and Computer-Integrated Manufacturing
Moving the suspended load of an overhead crane along a pre-specified path: A non-time based approach
Robotics and Computer-Integrated Manufacturing
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In this paper, two minimum time-jerk trajectory planning algorithms for robotic manipulators have been considered, evaluated and experimentally validated. These algorithms consider both the execution time and the integral of the squared jerk along the whole trajectory, so as to take into account the need for fast execution and the need for a smooth trajectory, by adjusting the values of two weights. A comparative analysis of these algorithms with two different trajectory planning techniques taken from the literature has been carried out, by means of experimental tests performed on a real robotic manipulator. The results prove the experimental effectiveness of the proposed techniques.