Connectionists: Invitation to contribute to Frontiers in Robotics and AI journal
Emanuel Sousa
eafsousa at gmail.com
Thu Mar 2 08:05:47 EST 2023
Dear colleagues,
We cordially invite you and your co-authors to publish your next research
article or comprehensive review in the Frontiers in Robotics and AI
journal, Research topic on "Advances in Robot Learning-from-Demonstration
for Smart Manufacturing Applications".
This Research Topic aims to provide a forum for engineers, data scientists,
researchers, and practitioners to present innovative research related to
algorithms and methods supporting “Robot Learning-from-Demonstration”
systems and frameworks concerning intelligent manufacturing processes. It
covers all aspects of the field, from advances in more traditional
low-level trajectory demonstration to high-level task understanding and
goal inference that "mimics" human intelligent learning, allowing to
improve synergistic human-robot collaboration. Review articles and
innovative works on performance evaluation and benchmark datasets are also
solicited. Potential topics of interest include, but are not limited to the
following:
-
Learning by observation
-
One-shot learning
-
Collaborative robot learning
-
Active learning for manufacturing
-
Kinesthetic teaching
-
Efficient data labeling
-
Semantic scene understanding
-
Transfer learning algorithms in smart manufacturing
-
Knowledge generalization
-
Robotics-based digital twins
-
Human-robot interfaces
The submission deadlines are:
-
Abstract: 31 March 2023
-
Manuscript: 31 July 2023
More details on this special issue can be found at:
https://www.frontiersin.org/research-topics/51387/advances-in-robot-learning-from-demonstration-for-smart-manufacturing-applications
Looking forward to your contribution.
Kind regards,
Miguel Angel Guevara Lopez, Polytechnic Institute of Setúbal, Portugal
Teresa Gonçalves, University of Évora, Portugal
Estela Bicho, University of Minho, Portugal
Manuel Graña, University of the Basque Country, Spain
Emanuel Sousa, Center for Computer Graphics, Portugal
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