Home ›
Entities
› academia
› Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors
Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors
Research article (Complexity, 2020) · cited 52× · AI/ML
Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors
Summary
Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors is a scholarly article[1].
Key Facts
Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors. Retrieved May 24, 2026, from https://4ort.xyz/entity/improvement-of-heavy-load-robot-positioning-accuracy-by-combining-a-model-based-identification-for-geometric-parameters-
MLA“Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improvement-of-heavy-load-robot-positioning-accuracy-by-combining-a-model-based-identification-for-geometric-parameters-.
BibTeX@misc{4ortxyz_improvement-of-heavy-load-robot-positioning-accuracy-by-combining-a-model-based-identification-for-geometric-parameters-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors}}, year = {2026}, url = {https://4ort.xyz/entity/improvement-of-heavy-load-robot-positioning-accuracy-by-combining-a-model-based-identification-for-geometric-parameters-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improvement of Heavy Load Robot Positioning Accuracy by Combining a Model-Based Identification for Geometric Parameters and an Optimized Neural Network for the Compensation of Nongeometric Errors — https://4ort.xyz/entity/improvement-of-heavy-load-robot-positioning-accuracy-by-combining-a-model-based-identification-for-geometric-parameters- (retrieved 2026-05-24)