ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how humans and animals develop sensing, reasoning and actions. This includes taking advantage of interaction with social and physical environments and how cognitive and developmental capabilities can be transferred to computing systems and robotics. This approach goes hand in hand with the goals of both understanding human and animal development and applying this knowledge to improve future intelligent technology, including for robots that will be in close interaction with humans.
The primary list of topics of interest include, but not limited to:
Download the Call for Papers (A4 format)
Paper Submission Open |
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Paper Submission Deadline (Extended) |
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Paper Author Notification (Extended) |
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Final Paper Version Due |
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Abstract Submission Open |
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Abstract Submission Deadline (Extended) |
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Abstract Author Notification |
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Final Abstract Version Due |
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Registration Opens |
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Early Registration Pricing Ends |
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Poster Teaser Presentations Submission |
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The program committee of the 10th IEEE International Conference on Development and Learning (ICDL) invites published journal articles to be presented in the Journal Track of ICDL.
The Journal Track is designed to provide a forum to discuss important results related to cognitive and developmental systems recently published as journal articles, but have not been previously presented as conference papers. Thus, the journal track offers an opportunity to present outstanding results that might otherwise not be submitted to a conference due to their length and complexity.
All accepted journal presentations will be selected for either oral or poster presentation during the conference based on the reviews – at least one author is expected to register to ICDL 2020 and to present the paper in person.
Journal Track Submission Open |
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Journal Track Submission Deadline |
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Journal Track Notification |
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We invite experts to give Tutorials, which will provide insights into specific topics through hands-on training and interactive experiences or in-depth state of the art review.
Tutorial Proposals Open |
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Tutorial Proposals Deadline (Extended) |
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Tutorial Proposals Notification |
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We invite experts in different areas to organise a workshop to be held on the first day of the conference. Workshops will extend to a half or full day and could include invited speakers, discussions with a smaller community, and independent submissions.
Workshops |
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Workshop Proposals Open |
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Workshop Proposals Deadline (Extended) |
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Workshop Proposals Notification |
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This special issue will include state-of-the-art research on emerging topics on development and learning in natural and artificial systems. In addition to new submissions, papers presented at ICDL-EpiRob 2020 will be invited to submit extended versions to the special issue. All submissions, including those that are based on ICDL-EpiRob 2020 papers, will be reviewed as regular TCDS papers.
This special issue has a focus on development and learning from a multidisciplinary perspective gathering researchers from computer science, robotics, psychology, and developmental studies. We invite researchers to share knowledge and research on how humans and animals develop sensing, reasoning and actions, and how to exploit robots as research tools to test models of development and learning. We expect the submitted contributions emphasize the interaction with social and physical environments and how cognitive and developmental capabilities can be transferred to computing systems and robotics. This approach goes hand in hand with the goals of both understanding human and animal development and applying this knowledge to improve future intelligent technology, including for robots that will be in close interaction with humans.
Special Issue Submission Deadline |
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Special Issue Notification |
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Special Issue Revised Manuscripts |
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Special Issue Final Version | Saturday, 10th July 2021 |
The primary list of topics of interest include, but not limited to: