Robotic Perception and the Human Brain: We invite you to a lecture by Dr. Gulia D’Angelo

Traditional cameras “see” the same way all the time. They consume a lot of energy and generate a massive bitstream. Couldn’t we take inspiration from, say… a cat? It sleeps for half the day, but as soon as a mouse moves across the field, it pounces on it with almost zero latency.

Come listen to a lecture by Italian researcher Giulia D’Angelo, currently a research assistant at the Faculty of Electrical Engineering (FEL) at the Czech Technical University, where she develops neuromorphic algorithms for computer vision. Okay, let’s let the cat sleep and approach the topic from a more technical angle. The lecture focuses on so-called event-driven sensors, which bring biological efficiency to the world of robotics thanks to microsecond latency and minimal power consumption. Giulia D’Angelo will introduce you to how biologically inspired algorithms link perception with action and why this neuromorphic approach is the key to the future of autonomous systems—perception and movement are inseparable, and the algorithms themselves learn from interacting with the physical world. For any system, whether biological or robotic, efficient processing of visual inputs is essential for understanding and interacting with the environment. The main challenge lies in the continuous recalibration of perception through sensorimotor contingencies, where what the system perceives is shaped by the way it moves. To address these challenges, Dr. D’Angelo is developing brain-inspired algorithms that utilize the computational principles of biological neurons and spiking neural networks optimized for neuromorphic hardware.

• “What’s catching your eye? – Event-driven sensing and neuromorphic computing for active vision”
• Thursday March 26, 2026 at 2:00 PM
• Lecture Hall A113, FIT VUT

The lecture is part of the VGS-IT (Invited Talks on Vision, Graphics, and Speech) series. This series focuses on machine learning, speech processing, computer vision, and large language models.

The lecture will be streamed on YouTube, but as always, it’s better to be there in person!

Dr. Giulia D’Angelo works at the Faculty of Electrical Engineering at CTU; she completed her PhD at the University of Manchester. In her research, she combines neuroscience, artificial intelligence, and robotics—drawing inspiration from the human brain to create technologies that strive to perceive (see) the world much like we do. She leads the ENDEAVOR project, where neuromorphic computing and event-driven cameras are transforming into real robotic visions of the future. She is also a recent recipient of the international Le Tecnovisionarie 2025 award.