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CfP IEEE ICDL 2026
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https://attend.ieee.org/icdl-2026/
15?18 September 2026 in Kyoto, Japan
2026 IEEE International Conference on Development and Learning (ICDL)
We invite submissions that advance our understanding of the development and learning of intelligent systems?both natural and artificial. ICDL brings together researchers from developmental science, neuroscience, psychology, cognitive science, robotics, and artificial intelligence, fostering interdisciplinary dialogue on embodied, cognitive, and lifelong learning.
In ICDL 2026, we continue to promote a broad range of contributions and highlight two Challenge Awards (BabyBot Challenge and BabyObserve Challenge), which encourage strong connections between computational modeling, developmental phenomena, and robotics.
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Important Deadlines
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March 13, 2026 (23:59 AoE)
- Full Papers (6 pages; up to +2 pages with fee)
- Workshop & Tutorial Proposals
April 1, 2026 (23:59 AoE)
- Journal Presentations
June 12, 2026 (23:59 AoE)
- Late-Breaking Results (1?2 pages)
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Keynote Speakers
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- Yukiyasu Kamitani (Kyoto University, Japan)
- Victoria Leong (Nanyang Technological University, Singapore)
- Georg Martius (MPI-IS / University of T?bingen, Germany)
- Tim Verbelen (VERSES, USA)
More speakers will be announced soon.
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Topics
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ICDL is a unique conference gathering researchers from computational sciences (robotics, AI, cognitive architectures) and developmental studies (psychology, linguistics, anthropology, neuroscience, philosophy). We welcome submissions on topics including, but not limited to:
- general principles and theories of development and learning
- embodied learning in biological systems and robots
- development of motor, perceptual, and cognitive skills
- developmental stages and sensitive periods
- architectures for cognitive development and lifelong learning
- emergence of body knowledge and affordance perception
- motor learning and control of body movements
- curiosity, intrinsic motivations, exploration, play, active learning
- prediction, planning, and problem solving
- developmentally inspired machine learning
- applications of machine learning to human and animal development
- AI and machine learning methods for developmental and behavioral sciences
- emotional development and the role of emotion in learning
- emergence of verbal and nonverbal communication
- metacognitive skills and explicit communication
- human?human and human?system interaction
- epistemological and philosophical foundations
- relationships between evolution and development
- ethics in modeling learning and development
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Submission
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ICDL 2026 accepts four types of submissions.
Full Papers (6 pages + optional 2 pages)
Deadline: March 13, 2026 (23:59 AoE)
Original, mature research contributions. Accepted papers will be presented orally or as posters and included in the IEEE ICDL 2026 Proceedings on IEEE Xplore.
Workshops & Tutorials
Deadline: March 13, 2026 (23:59 AoE)
We invite proposals for half-day or full-day workshops or tutorials (optionally including competitions).
Journal Presentations
Deadline: April 1, 2026 (23:59 AoE)
Poster presentations of journal papers published between April 2025 and March 2026.
Late-Breaking Results (1?2 pages)
Deadline: June 12, 2026 (23:59 AoE)
For late-breaking or early-stage research. Accepted submissions will be presented as posters but not included in IEEE Xplore.
For detailed submission instructions, please refer to:
- https://attend.ieee.org/icdl-2026/contribute/call-for-papers/
- https://attend.ieee.org/icdl-2026/contribute/call-for-workshops-tutorials/
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Challenge Awards
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BabyBot Challenge Award
Recognizes computational models that strongly connect developmental psychology with robotics or computational modeling.
Evaluated on:
? representation of targeted experimental phenomena
? replication of empirical findings and parsimony
? clarity of cognitive mechanisms and novel insights/predictions
Authors may opt-in during submission.
BabyObserve Challenge Award
Highlights novel or "edge case" observational phenomena in child development that may inspire computational modeling.
Evaluated on:
? novelty and importance of the phenomenon
? clarity for inspiring computational models
? theoretical grounding and links to existing literature
Authors may opt-in during submission.
General Chair: Tadahiro Taniguchi
Program Chair: Shingo Murata
Program Co-Chairs: Tatsuya Daikoku, Pablo Lanillos, Junko Kanero, Alejandra Ciria, Namiko Saito
配信元・問合先――――――――――――――――――――――――――――
河合祐司
大阪大学
kawai@otri.osaka-u.ac.jp
