kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence
Xi'an Jiaotong-Liverpool University, School of Advanced Technology, China.
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China.
Linköping University, Department of Science and Technology, Sweden.
Dalian Marine University, China.
Show others and affiliations
2024 (English)In: 2024 33rd International Symposium on Industrial Electronics, ISIE 2024 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

Embodied AI represents a crucial step towards achieving Artificial General Intelligence (AGI). The next paradigm of Embodied AI involves physical embodiment, enhanced perception capabilities, and adaptive automation. This advances the field significantly, paving the way for broader expansion. Despite the significant progress, existing computing frameworks, like local computation or cloud computing, struggle to meet the substantial demands of Embodied AI. The Cloud-Fog Embodied framework, namely based on CFA (cloud-fog automation) offers a promising solution to address these challenges. Our goal is to drive integration across multiple domains, including AI, robotics and industrial production, to tackle multifaceted challenges and seize opportunities to achieve AGI in the future.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
Keywords [en]
agent, cloud-fog automation, Embodied AI, pretrained foundation models
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-351760DOI: 10.1109/ISIE54533.2024.10595837ISI: 001290477100158Scopus ID: 2-s2.0-85199610714OAI: oai:DiVA.org:kth-351760DiVA, id: diva2:1888727
Conference
33rd International Symposium on Industrial Electronics, ISIE 2024, Ulsan, Korea, Jun 18 2024 - Jun 21 2024
Note

Part of ISBN: 9798350394085

QC 20241001

Available from: 2024-08-13 Created: 2024-08-13 Last updated: 2024-10-01Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Pang, Zhibo

Search in DiVA

By author/editor
Pang, Zhibo
By organisation
Electric Power and Energy SystemsInformation Science and Engineering
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf