A Novel Dwell Time Modification Framework for Low Spatial Frequency Errors Suppression Under Complex Task Interactions in Optical Fabrication

The manufacturing extremity and surface convergence efficiency of high-precision, large optical free-form surfaces produced through computer-controlled optical surfacing and industrial robotics face significant challenges. These challenges arise from task-related stiffness deficiencies of industrial robots and dynamic uncertainties in the tool influence function, which severely impact low spatial frequency (LSF) errors and the clarity of imaging in high-resolution optical systems. To address these issues and achieve consistent optical polishing outcomes, we propose a novel polishing dwell time modification framework. This framework is based on the spatial compliance field linked to the specific machining task and the Frenet frame, dynamically adjusting the polishing dwell time to mitigate LSF errors and enhance surface convergence efficiency. The efficacy of this modification framework was evaluated through a series of multilevel gradient experiments in Sim2Real machining environments. The experimental results show a significant reduction in low-frequency spatial errors, underscoring the potential of our approach to improve precision in high-resolution optical systems.

Authors

Institutions

Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2025-02-20
DOI
https://doi.org/10.1109/tmech.2025.3536465
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Dwell Time Modification Framework for Low Spatial Frequency Errors Suppression Under Complex Task Interactions in Optical Fabrication

Yusong Pang, Gang Cheng, Li Jun, Bin Fan
2 links
IEEE/ASME Transactions on Mechatronics
Advanced Measurement and Metrology Techniques
article

A Novel Dwell Time Modification Framework for Low Spatial Frequency Errors Suppression Under Complex Task Interactions in Optical Fabrication

Yusong Pang, Gang Cheng, Li Jun, Bin Fan
article en

Abstract

The manufacturing extremity and surface convergence efficiency of high-precision, large optical free-form surfaces produced through computer-controlled optical surfacing and industrial robotics face significant challenges. These challenges arise from task-related stiffness deficiencies of industrial robots and dynamic uncertainties in the tool influence function, which severely impact low spatial frequency (LSF) errors and the clarity of imaging in high-resolution optical systems. To address these issues and achieve consistent optical polishing outcomes, we propose a novel polishing dwell time modification framework. This framework is based on the spatial compliance field linked to the specific machining task and the Frenet frame, dynamically adjusting the polishing dwell time to mitigate LSF errors and enhance surface convergence efficiency. The efficacy of this modification framework was evaluated through a series of multilevel gradient experiments in Sim2Real machining environments. The experimental results show a significant reduction in low-frequency spatial errors, underscoring the potential of our approach to improve precision in high-resolution optical systems.

IEEE/ASME Transactions on MechatronicsVol. 30(6)
Chinese Academy of Sciences (CN), China University of Mining and Technology (CN), Institute of Optics and Electronics, Chinese Academy of Sciences (CN), Delft University of Technology (NL)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 97%
Advanced Measurement and Metrology Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.