JERK-CONTINUOUS ONLINE TRAJECTORY PLANNING AND FEEDFORWARD CONTROL FOR FLEXIBLE JOINT ROBOTS, 1-8.

This paper presents a novel seventh-degree polynomial joint space trajectory planning algorithm.This algorithm features continuous jerk, enabling efficient online computation and handling of singular configurations in robotic systems.Furthermore, a fourth-order feedforward controller is implemented to investigate vibration control in flexible joint robots.Comparative experiments demonstrate the proposed trajectory planning algorithm's ability to generate smoother trajectories.The fourth-order feedforward control effectively leverages information from the reference trajectory.The combined approach of the proposed trajectory planning algorithm and fourth-order feedforward control significantly enhances the control performance of flexible joint robots.

Authors

Publication Details

Journal
International Journal of Robotics and Automation
Published
2025-01-01
DOI
https://doi.org/10.2316/j.2025.206-1208
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

JERK-CONTINUOUS ONLINE TRAJECTORY PLANNING AND FEEDFORWARD CONTROL FOR FLEXIBLE JOINT ROBOTS, 1-8.

Pengxiao Jia, Jianhua Yang, Yifeng Li
International Journal of Robotics and Automation
Robotic Mechanisms and Dynamics
article

JERK-CONTINUOUS ONLINE TRAJECTORY PLANNING AND FEEDFORWARD CONTROL FOR FLEXIBLE JOINT ROBOTS, 1-8.

Pengxiao Jia, Jianhua Yang, Yifeng Li
article en

Abstract

This paper presents a novel seventh-degree polynomial joint space trajectory planning algorithm.This algorithm features continuous jerk, enabling efficient online computation and handling of singular configurations in robotic systems.Furthermore, a fourth-order feedforward controller is implemented to investigate vibration control in flexible joint robots.Comparative experiments demonstrate the proposed trajectory planning algorithm's ability to generate smoother trajectories.The fourth-order feedforward control effectively leverages information from the reference trajectory.The combined approach of the proposed trajectory planning algorithm and fourth-order feedforward control significantly enhances the control performance of flexible joint robots.

International Journal of Robotics and AutomationVol. 40(10)
Openalex Percentile: Top 84%
Robotic Mechanisms and Dynamics
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