Robust Robotic Arm Calibration combining Multi-Distance Optimization Approach with Lagrange Starfish Optimization Algorithm

Qu, Yongtao; Li, Zhiqiang; Liao, Long; Deng, Xun; Lin, Yuanchang; Chen, Tinghui; Chen, Linlin; Liu, Jia; Wei, Peiyang; Gan, Jianhong; Hu, ZhenZhen; Hu, Can; Deng, Yonghong; Li, Wei; Li, Zhibin

Robust Robotic Arm Calibration combining Multi-Distance Optimization Approach with Lagrange Starfish Optimization Algorithm

Qu, Yongtao and Li, Zhiqiang and Liao, Long and Deng, Xun and Lin, Yuanchang and Chen, Tinghui and Chen, Linlin and Liu, Jia and Wei, Peiyang and Gan, Jianhong and Hu, ZhenZhen and Hu, Can and Deng, Yonghong and Li, Wei and Li, Zhibin (2025) Robust Robotic Arm Calibration combining Multi-Distance Optimization Approach with Lagrange Starfish Optimization Algorithm. EAI Endorsed Transactions on AI and Robotics.

PDF
79165.pdf
Download (2MB)

Abstract

In response to the limitations of existing robotic parameter calibration methods in terms of computational complexity, convergence speed, data requirements, and accuracy, this study proposes an innovative calibration scheme that combines an improved Lagrangian Starfish Optimization Algorithm (LSFA)

Item Type:	Article
Date Deposited:	04 Mar 2026 20:13
Last Modified:	16 Apr 2026 16:09
URI:	http://eprints.eai.eu/id/eprint/59821

Actions (login required)

: View Item