Our center’s objectives encompass research and technology production that will create a long-term impact, taking into account current scientific developments in the field of physical artificial intelligence.
Real-World Oriented AI To develop physical AI systems that transcend simulation environments and operate reliably under real-world conditions involving uncertainty and noise.
Integration of Learning and Control on Physical Systems To develop hybrid methods that combine machine learning with control theory to produce data-efficient, safe, and stable robotic behaviors.
Generalized Model Synthesis To develop high-generalization algorithms and system architectures that enable the effective transfer of learning-based methods to real-world systems.
Persistent Human-Robot Partnership To take the next major step in human-robot collaboration by developing adaptive and safe robotic systems that interact with humans both physically and cognitively.
Multi-Agent and Networked Systems To develop novel methods addressing scalability, coordination, and resilience challenges in distributed and networked autonomous systems.
Experimental and Applied Research Infrastructure To establish robust experimental infrastructures where developed methods are tested on real robotic systems and to create sustainable research platforms.
International Impact and Collaboration To establish international visibility and impact by building strategic partnerships with leading research centers and industry stakeholders.
Çekmeköy Kampüsü Nişantepe Mah.
Orman Sk. 34794 Çekmeköy – İstanbul | Telefon: +90(216) 564 90 00
