一个高精度的手眼协调定位方法在凸放松优化下
Jin Hua1, Yuhang Su1, Daxin Xin1
1School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China.
Sensors (Basel, Switzerland)
|June 27, 2024
概括
这项研究介绍了一种新的机器人辅助系统,用于更安全的电气开关操作. 新的凸放松全球优化算法提高了手眼校准准确度和稳定性,提高了操作员的安全性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 电气工程 电气工程
- 计算机视觉 计算机视觉
背景情况:
- 由于现场工作和高压弧放电,传统的开关操作存在风险.
- 现有的手眼校准方法与合的旋转和翻译解决方案相扎,影响精度.
研究的目的:
- 开发一个强大而准确的手眼校准算法,用于机器人辅助的电气开关.
- 为了提高远程开关操作的安全性和精度.
主要方法:
- 利用双四次数来简化手眼校准模型.
- 应用凸起放松和线性矩阵不等式凸起优化,用于准确的旋转矩阵确定.
- 开发了一个新的目标函数来解决旋转和转移向量之间的合问题.
主要成果:
- 实现了大约2.9毫米的定位精度.
- 与现有算法相比,证明了卓越的校准准确性,噪声稳定性和稳定性.
- 通过添加高斯噪声的实验验验证了性能.
结论:
- 拟议的基于双四的凸放松算法显著提高了机器人切换的手眼校准.
- 该算法符合电气开关操作的严格准确性要求,提高了安全性和效率.
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