Structure diagram of branched PUS with errors.

<div><p>Kinematic calibration is essential for improving the absolute accuracy of parallel robots, but conventional identification methods often struggle with the complex, non-linear coupling of their numerous geometric error parameters. This can lead to convergence to local rather than...

Full description

Saved in:

Bibliographic Details
Main Author:	Zesheng Wang (15244172) (author)
Other Authors:	Yanbiao Li (22170014) (author), Bo Chen (32294) (author), Kexin Ding (8739855) (author), Jialong Zhu (1834288) (author), Min Zhuang (218356) (author)
Published:	2025
Subjects:	Biotechnology Plant Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified selected uniformly throughout robot &# 8217 finite difference method eliminate error sources actuator displacement errors rpur parallel robot positional accuracy across kinematical error analysis global optimization strategy experimental results demonstrate overall pose error penalty function approach calibration methodology based sensitivity analysis parallel robots objective function identification results global optima absolute accuracy workspace using three recent screw theory performed using paper proposes onboard imu novel self negligible impact moving platform measurement points measurement data local rather linear coupling linear constraints kinematic chain joint encoders inverse kinematics handled using established based entire workspace benchmark comparison autonomous calibration
Tags:	Add Tag No Tags, Be the first to tag this record!

Structure diagram of branched PUS with errors.

Similar Items