An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment

Research article (SN Applied Sciences, 2020) · cited 11× · AI/ML
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An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment

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An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-approach-for-inverse-kinematics-and-redundancy-resolution-of-spatial-redundant-robots-for-cluttered-environ
MLA “An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-approach-for-inverse-kinematics-and-redundancy-resolution-of-spatial-redundant-robots-for-cluttered-environ.
BibTeX @misc{4ortxyz_an-efficient-approach-for-inverse-kinematics-and-redundancy-resolution-of-spatial-redundant-robots-for-cluttered-environ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-approach-for-inverse-kinematics-and-redundancy-resolution-of-spatial-redundant-robots-for-cluttered-environ}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient approach for inverse kinematics and redundancy resolution of spatial redundant robots for cluttered environment — https://4ort.xyz/entity/an-efficient-approach-for-inverse-kinematics-and-redundancy-resolution-of-spatial-redundant-robots-for-cluttered-environ (retrieved 2026-05-24)

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