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Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes
Research article (International Journal of Advanced Robotic Systems, 2018) · cited 21× · AI/ML
Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes
Summary
Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes is a scholarly article[1].
Key Facts
Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes. Retrieved May 24, 2026, from https://4ort.xyz/entity/calibrating-intuitive-and-natural-humanrobot-interaction-and-performance-for-power-assisted-heavy-object-manipulation-us
MLA“Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/calibrating-intuitive-and-natural-humanrobot-interaction-and-performance-for-power-assisted-heavy-object-manipulation-us.
BibTeX@misc{4ortxyz_calibrating-intuitive-and-natural-humanrobot-interaction-and-performance-for-power-assisted-heavy-object-manipulation-us_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes}}, year = {2026}, url = {https://4ort.xyz/entity/calibrating-intuitive-and-natural-humanrobot-interaction-and-performance-for-power-assisted-heavy-object-manipulation-us}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Calibrating intuitive and natural human–robot interaction and performance for power-assisted heavy object manipulation using cognition-based intelligent admittance control schemes — https://4ort.xyz/entity/calibrating-intuitive-and-natural-humanrobot-interaction-and-performance-for-power-assisted-heavy-object-manipulation-us (retrieved 2026-05-24)
