The accuracy of laser trackers in large-scale dimensional metrology is subject to various influencing factors, with instrument positioning being a primary source of error. To address this, a multi-objective optimization algorithm, grounded in the Pareto improvement principle, is proposed. This algorithm is designed to optimize instrument placement, thereby minimizing measurement errors and enhancing the algorithm's efficacy in error reduction. Thereby, this article proved that positioning the laser tracker consistently on one side of the measurement area and aligning its height with the measuring points can effectively reduce the uncertainty of control point errors by up to 50%.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1063/5.0207241 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
An MRI-guided stereotactic neurosurgical robotic system for semi-enclosed head coils.
J Robot Surg
December 2024
National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, 100084, China.
Magnetic resonance imaging (MRI) offers high-quality soft tissue imaging without radiation exposure, which allows stereotactic techniques to significantly improve outcomes in cranial surgeries, particularly in deep brain stimulation (DBS) procedures. However, conventional stereotactic neurosurgeries often rely on mechanical stereotactic head frames and preoperative imaging, leading to suboptimal results due to the invisibility and the contact with patient's head, which may cause additional harm. This paper presents a frameless, MRI-guided stereotactic neurosurgical robotic system.
View Article and Find Full Text PDFArticle Synopsis
- The article addresses the challenge of image positioning accuracy in high-resolution cameras caused by environmental disturbances and line-of-sight variations during operation.
- It proposes a real-time monitoring system (LoS Var RTMS) that integrates a high-resolution camera with a star tracker and utilizes laser technology to improve calibration and accuracy.
- To counteract issues with stray light affecting the system's performance, a new analysis method is introduced alongside a polarization filtering mechanism designed to minimize the impact of stray light, enhancing the overall effectiveness of the monitoring system.
Instrumented Contact Lens to Detect Gaze Movements Independently of Eye Blinks.
Transl Vis Sci Technol
November 2024
Optics Department, IMT Atlantique, Brest, France.
Purpose: To test on humans an eye tracker based on the use of a contact lens with active infrared sources and to evaluate whether this system can track the eye behind the eyelid.
Methods: The system is made up of a scleral contact lens embedding two vertical cavity self-emitting lasers (VCSELs) remotely driven by eyewear comprised of electronics and cameras. Tests on humans were carried out on five subjects to assess performance and to determine whether the VCSEL spot could be detected behind the eyelid.
Robot Calibration Sampling Data Optimization Method Based on Improved Robot Observability Metrics and Binary Simulated Annealing Algorithm.
Sensors (Basel)
September 2024
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.
As the societal demand for precision in industrial robot operations increases, calibration can enhance the end-effector positioning accuracy of robots. Sampling data optimization plays an important role in improving the calibration effect. In this study, a robot calibration sampling point optimization method based on improved robot observability metrics and a Binary Simulated Annealing Algorithm is proposed.
View Article and Find Full Text PDFA research on improving the precision of laser tracker in alignment based on Pareto improvement principle.
Rev Sci Instrum
October 2024
Institute of Advanced Science Facilities, Shenzhen, Guangdong 518107, China.
The accuracy of laser trackers in large-scale dimensional metrology is subject to various influencing factors, with instrument positioning being a primary source of error. To address this, a multi-objective optimization algorithm, grounded in the Pareto improvement principle, is proposed. This algorithm is designed to optimize instrument placement, thereby minimizing measurement errors and enhancing the algorithm's efficacy in error reduction.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!