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Developing Cognitive Robots with CoreSense
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   *09:00 - 10:30* -- Ricardo Sanz, Ruth Medeiros Gonzalez


**Lecture description:**
After learning about many robotics software technologies in the previous sessions, this lecture will address scaling up these assets to complex robotic controllers using a systems engineering approach.
Specifically, this lecture will discuss this process in the context of the CoreSense project, which researches better methods, designs, and assets following an architecture-centric approach.

Starting with a motivation for robotic understanding, the lecture continues by introducing CoreSense's foundation in models rather than data as the basis of cognition.
It then presents concepts and principles at the core of the CoreSense approach, and how a Model-Based Autonomous Systems Engineering methodology is applied to the development of the CoreSense mission architecture.

**Session materials:**
- :download:`Slides: Developing Cognitive Robots with CoreSense <slides/CoreSense-MAG.pdf>`

**Bio. Ricardo Sanz**  is Professor of Automatic Control and Systems Engineering at the Technical University of Madrid (Universidad Politécnica de Madrid, UPM), where he has been a faculty member since 1991 and has coordinated the Autonomous Systems Laboratory (ASLab) since 2004.

He received his degree in Electrical, Control, and Electronics Engineering in 1987 and his Ph.D. in Robotics and Artificial Intelligence in 1990.
His research focuses on the foundations and architectures of intelligent systems, spanning autonomous control, cognitive robotics, real-time artificial intelligence, software technologies for complex distributed controllers, bio-inspired systems, and the engineering and philosophy of intelligence.

Ricardo has played a leading role in several international scientific and professional communities.
He has served as Associate Editor of IEEE Control Systems Magazine, the International Journal of Machine Consciousness, and the Journal on Biologically Inspired Cognitive Systems.
He has also chaired the Object Management Group (OMG) Control Systems Working Group and the International Federation of Automatic Control (IFAC) Technical Committee on Computers and Control.

His current work explores the principles underlying intelligence, cognition, and self-awareness in both natural and artificial systems, with the long-term goal of advancing the systematic engineering of more capable and autonomous machines.