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Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression
Research article (2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016) · cited 11× · AI/ML
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression
Summary
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression is a scholarly article[1].
Key Facts
Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-from-demonstration-with-partially-observable-task-parameters-using-dynamic-movement-primitives-and-gaussian-pro
MLA“Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-from-demonstration-with-partially-observable-task-parameters-using-dynamic-movement-primitives-and-gaussian-pro.
BibTeX@misc{4ortxyz_learning-from-demonstration-with-partially-observable-task-parameters-using-dynamic-movement-primitives-and-gaussian-pro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression}}, year = {2026}, url = {https://4ort.xyz/entity/learning-from-demonstration-with-partially-observable-task-parameters-using-dynamic-movement-primitives-and-gaussian-pro}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression — https://4ort.xyz/entity/learning-from-demonstration-with-partially-observable-task-parameters-using-dynamic-movement-primitives-and-gaussian-pro (retrieved 2026-05-24)
