A Novel Deep Learning-Based Spatio-Temporal Model for Prediction of Pose Residual Errors in Optical Processing Hybrid Robot
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China
2. Section of Transport Engineering and Logistics, Delft University of Technology, Delft, The Netherlands
Funder
National Natural Science Foundation of China
Priorty Academic Program Development of Jiangsu Higher Education Institutions
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/9424/10550081/10478729.pdf?arnumber=10478729
Reference28 articles.
1. Development and theoretical analysis of novel center-inlet computer-controlled polishing process for high-efficiency polishing of optical surfaces
2. Generic model of time-variant tool influence function and dwell-time algorithm for deterministic polishing
3. Review on robot-assisted polishing: Status and future trends
4. Suppression of mid-spatial-frequency waviness by a universal random tree-shaped path in robotic bonnet polishing
5. Universal dwell time optimization for deterministic optics fabrication
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