[visionlist] Workshop on Behavioral Robotics and AI for iNdustrial and social systems @IEEE IAPR ICPR / Deadline extended

Alessia SAGGESE asaggese at unisa.it
Mon Apr 13 12:39:57 -05 2026


=== Call for submissions ===
Workshop on Behavioral Robotics and AI for iNdustrial and social systems (BRAIN)
Hosted by 28th International Conference on Pattern Recognition (ICPR)
Endorsed by IAPR

Conference Website: https://icpr2026.org
Workshop Website: https://mivia.unisa.it/brain2026/
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=== Important dates ===
Paper Submission Deadline: 13th April, 2026 -> Deadline Extended 30th April, 2026
Decision Notification Deadline: 18th May, 2026
Camera-Ready Deadline: 10th June, 2026

Workshop date: 22nd August, 2026, 8am - 2pm
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The convergence of Artificial Intelligence and Robotics is driving a new era of intelligent systems capable of interacting with the physical world in increasingly sophisticated ways. At the heart of this transformation lies Physical AI, namely the application of AI to systems that directly engage with their environment through sensors and actuators. Physical AI enables robots and devices to perceive, understand, and act upon complex, dynamic, and often uncertain environments, making it a cornerstone of modern robotics.

This workshop, BRAIN: “Behavioral Robotics and AI for iNdustrial and social systems”, seeks to explore the role of Physical AI in shaping robotic behaviors across different critical domains, including industrial automation and social interaction. In industrial settings, Physical AI drives precision, adaptability, and efficiency in tasks such as manufacturing, logistics, and inspection. In social contexts, it empowers robots to interpret human cues, respond empathetically, and engage in meaningful interactions.

By focusing on behavioral robotics, the workshop emphasizes the integration of perception, decision-making, and physical embodiment, which are key elements for creating intelligent systems that are not only reactive but also proactive and context-aware. AI plays a vital role in this process, enabling robots to interpret sensory data, learn from experience, and adapt their behavior in real time.

The International Workshop on BRAIN aims to provide a dedicated forum for researchers, practitioners, and industry representatives to present and discuss innovative contributions in this emerging field. The workshop seeks to advance the state of the art in Physical AI, by bridging perception, cognition, and action, the BRAIN workshop provides a good platform to explore how pattern recognition enables intelligent behavior in physical systems. It encourages interdisciplinary collaboration between researchers in AI, robotics, and pattern recognition.


Topics of interest:
Physical AI and Embodied Intelligence
Robotic Perception
Multimodal Perception
Autonomous Robot Navigation
Learning from Demonstration
Real-Time AI for Dynamic Environments
Human-Robot Interaction and Social Intelligence
Behavioral Modeling in Robotics
Adaptive and Context-Aware Robotic Systems
AI for Industrial Automation
AI for Inspection
Ethical and Societal Implications of Physical AI


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Contact us at: brain2026 at unisa.it

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The organizers,

Alessia Saggese, University of Salerno, Italy
Mario Vento, University of Salerno, Italy
Sean Ryan Fanello, Google, USA
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Alessia SAGGESE, Ph.D.
Associate Professor

Dept. of Information Eng., Electrical Eng. and Applied Mathematics (DIEM)
University of Salerno
Italy

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