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Trustworthy Multi-Agent AI & Robotics for Global Resilience, Autonomy and Security
This workshop will explore the design and deployment of trustworthy, multi-agent AI and robotics systems to strengthen global resilience, autonomy, and security.
As AI, Data, and Robotics (ADR) increasingly converge, decentralized multi-agent ecosystems and particularly in human-AI/robot teaming, which offers significant potential for managing complexity and ensuring continuity in critical domains such as infrastructure, disaster response, defense, and healthcare.
Bringing together leaders from academia, industry, and government, this session will:
- Unpack ethical, explainable architectures for decentralized multi-agent systems with human oversight.
- Explore frameworks for trust, safety, and robustness in autonomous human-robot collaboration.
- Showcase real-world cases applying MAS and robotics for security and resilience.
- Define actionable strategies for responsible innovation, regulation, and capacity-building.
Participants will engage in keynotes, expert panels, and interactive ideation sessions to co-develop a Global Resilience, Autonomy & Safety Roadmap. This will prioritize pilot projects, ethical guidelines, and skills frameworks to scale trustworthy ADR systems. The goal is to align technical excellence with societal values, enabling resilient autonomy through secure and responsible multi-agent intelligence.
Chair:
Biography
Assia Belbachir is a Senior Researcher at NORCE Norwegian Research Centre, specializing in autonomous systems, digital twins, and multi-agent/robotics. With a PhD in Artificial Intelligence from INPT–LAAS‑CNRS (France), she has worked across Europe on advanced driver-assistance systems, multi-robot cooperation, and drone technologies.
Her research focuses on intelligent task planning, reinforcement learning, and real-time decision-making for cooperative autonomous systems.
Presenting Speaker
Prof. Marius Leordeanu (PhD, Carnegie Mellon, 2009) is Senior Scientist at NORCE and Full Professor at the Polytechnic University of Bucharest. His research on computer vision and AI has earned over 8,500 citations (h-index 38), top prizes from the Romanian Government (2024) and the Romanian Academy (2014), and major grants including a Google Research Award. He serves as Associate Editor for TPAMI and Area Chair for top AI conferences. His book Unsupervised Learning in Space and Time (Springer, 2020) is a best-seller in the field.
Dr. Amit Kumar Pandey, PhD (Robotics & AI), is a globally recognized scientist, innovator, and leader in Robotics and AI, committed to advancing technology for humanity. He is President of Socients AI and Robotics, France, and has held key leadership roles including CTO at Rovial Space, and President, CSO, and CTO at Hanson Robotics, creators of Sophia. Formerly, he was Chief Scientist at SoftBank Robotics Europe, behind Pepper and Nao. Co-founder of GRASS and GIRAI, he has 60+ publications, 100+ talks, and multiple honors, including Top 3 PhDs in Robotics in Europe and global innovation leadership awards.
Dr. Wissam Mallouli is CTO of Montimage (France), specializing in cybersecurity, digital twins, and AI for smart manufacturing. He leads Work Package 2 in the COGNIMAN project, applying digital twin technology to enhance flexible production. He holds a Telecommunications Engineering degree (INT) and a PhD in cybersecurity (Telecom & Management SudParis). His expertise spans cyber defense, risk management, and industrial applications. Author of numerous publications, he actively contributes to European research initiatives, driving innovation in cybersecurity and digital transformation for industry.
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