<div class="csl-bib-body">
<div class="csl-entry">Yang, C., Luo, S., Lepora, N., Ficuciello, F., Lee, D., Wan, W., & Su, C.-Y. (2022). Biomimetic Perception, Cognition, and Control: From Nature to Robots [From the Guest Editors]. <i>IEEE Robotics and Automation Magazine</i>, <i>29</i>(4), 8–8. https://doi.org/10.1109/MRA.2022.3213199</div>
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dc.identifier.issn
1070-9932
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/139471
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dc.description.abstract
A wide range of technological developments are inspired by biological individuals and advanced synthetic materials, cognitive sensors, control algorithms, artificial intelligence technology, and intelligent systems. One of the major challenges is to create a comprehensive study by integrating different techniques into robotic systems so that the performance of robots can be improved and applied to more complex and diverse scenarios. The articles in this issue focus on the state of the art in biomimetic perception, cognition, and control research and aim to explore related technical avenues in the multimodal bioinformation perception framework, intelligent cognition and learning, robotic systems and control, and new biomimetic sensors.
en
dc.language.iso
en
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dc.publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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dc.relation.ispartof
IEEE Robotics and Automation Magazine
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dc.subject
Biomimetics
en
dc.subject
Robot sensing systems ,
en
dc.subject
Robot control
en
dc.subject
Learning systems
en
dc.title
Biomimetic Perception, Cognition, and Control: From Nature to Robots [From the Guest Editors]
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dc.type
Article
en
dc.type
Artikel
de
dc.contributor.affiliation
South China University of Technology, China
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dc.contributor.affiliation
University of Bristol, United Kingdom of Great Britain and Northern Ireland (the)
