Data-Driven Method for Robotic Trajectory Error Prediction and Compensation Based on Digital Twin
In addressing the limited absolute positioning accuracy of industrial robots, which stems from the discrepancy between the nominal kinematic model and the physical entity, this paper proposes a novel paradigm for online compensation based on data-driven error prediction. The present study utilized a...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-08-01
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| Serie: | Machines |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2075-1702/13/9/771 |
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