Planning optimal minimum-jerk trajectories for redundant robots

In this paper, a minimum-jerk trajectory planning approach for redundant manipulators is presented. The proposed approach leverages not only the optimization of the time intervals between each of the way points of the assigned path, but also the optimal positions of a selected robot joint to reduce the jerk of the robot end-effector. This multi-stage optimization strategy is validated through extensive numerical simulations and experimental tests on a robot with seven degrees of freedom performing a pick-and-place motion. The results of the tests, supported by accelerometer measurements of the vibrations of the robot end-effector, prove the performance of the proposed approach in reducing both the acceleration and the jerk levels of the redundant manipulator in comparison with a state-of-the-art trajectory planning technique. • A minimum-jerk trajectory planning approach for redundant manipulators is presented. • The approach optimizes time intervals and positions of a selected joint. • Numerical and experimental tests are performed on a 7-DOF robot. • Both the acceleration and the jerk levels of the redundant manipulator are reduced. • The approach is also compared with a state-of-the-art trajectory planning technique.

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Publication Details

Journal
Robotics and Autonomous Systems
Published
2025-05-19
DOI
https://doi.org/10.1016/j.robot.2025.105049
Citations
10
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
12.15
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article

Planning optimal minimum-jerk trajectories for redundant robots

Alessandro Gasparetto, Paolo Boscariol, Lorenzo Scalera, Federico Lozer
10 citations
Robotics and Autonomous Systems
Robotic Mechanisms and Dynamics
12.15
article

Planning optimal minimum-jerk trajectories for redundant robots

Alessandro Gasparetto, Paolo Boscariol, Lorenzo Scalera, Federico Lozer
article en
10 citations

Abstract

In this paper, a minimum-jerk trajectory planning approach for redundant manipulators is presented. The proposed approach leverages not only the optimization of the time intervals between each of the way points of the assigned path, but also the optimal positions of a selected robot joint to reduce the jerk of the robot end-effector. This multi-stage optimization strategy is validated through extensive numerical simulations and experimental tests on a robot with seven degrees of freedom performing a pick-and-place motion. The results of the tests, supported by accelerometer measurements of the vibrations of the robot end-effector, prove the performance of the proposed approach in reducing both the acceleration and the jerk levels of the redundant manipulator in comparison with a state-of-the-art trajectory planning technique. • A minimum-jerk trajectory planning approach for redundant manipulators is presented. • The approach optimizes time intervals and positions of a selected joint. • Numerical and experimental tests are performed on a 7-DOF robot. • Both the acceleration and the jerk levels of the redundant manipulator are reduced. • The approach is also compared with a state-of-the-art trajectory planning technique.

Robotics and Autonomous SystemsVol. 192
University of Udine (IT), University of Padua (IT)
Openalex Percentile: Top 1%
Robotic Mechanisms and Dynamics
12.15
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