Connectionists: Learning and Optimization under Uncertainty for Dynamic Autonomous Navigation @ LION20

Mario Francesco Pavone mario.pavone at unict.it
Sat Dec 13 02:40:52 EST 2025


Apologies for cross-posting. Appreciate if you can distribute this CFP to your network.

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Learning and Optimization under Uncertainty for Dynamic Autonomous Navigation
Special Session @ LION20
June 15-19, 2026, Milan, Italy
https://www.lion20.org/
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** Full papers (long & short) deadline: February 1, 2026 **

Dynamic autonomous navigation is a challenging problem at the intersection of optimization, machine learning, and artificial intelligence. Real-world applications, such as robotics, autonomous vehicles, and, in general, exploration of unknown or evolving environments require intelligent agents to adapt in real time to incomplete information, uncertain dynamics, and limited resources. 

This special session focuses on novel models, algorithms, and learning-based approaches to address uncertainty and complexity in autonomous navigation, and covering both theoretical developments and practical implementations, it aims to advance the understanding of how optimization and learning can effectively address the challenges of dynamic, uncertain, and multi-agent navigation scenarios.


#Topics of Interest (but not limited to):
* Learning-based optimization for uncertain/dynamic environments
* Real-time and adaptive decision-making
* Hybrid optimization & machine learning frameworks
* Reinforcement learning and probabilistic models for navigation
* Multi-agent coordination & collective intelligence
* Robust and scalable techniques for hard optimization problems
* Performance evaluation, benchmarking, algorithm selection
* Applications in robotics, transportation, disaster response, smart infrastructures


#Submission
Please follow the official LION20 submission guidelines:
https://www.lion20.org/submissions
All papers will undergo standard peer review. Accepted papers will appear in the LION20 proceedings.


#Organizers
* Carolina Crespi (University of Catania) - carolina.crespi at unict.it
* Alessio Mezzina (University of Catania) - alessio.mezzina at phd.unict.it
* Mario Pavone (University of Catania) - mpavone at dmi.unict.it


-- 
Mario F. Pavone, PhD
Associate Professor
Dept of Mathematics and Computer Science
University of Catania
V.le A. Doria 6 - 95125 Catania, Italy
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tel: +39 095 7383034
mobile: +39 3384342147
Email: mpavone at dmi.unict.it
http://www.dmi.unict.it/mpavone/
https://www.facebook.com/groups/MetaheuristicsSchool/
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Complex Intelligent Systems Research Group
http://cis-lab.dmi.unict.it
https://www.facebook.com/CIS.ResearchGroup
complexintelligentsystems at gmail.com
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