Where: Dark Lab (Room 2.008) Time: regular intervals between 5:30 and 10pm Event Type: Experiment By Ole Hall, Julie Ouerfelli-Ethier, and Qu Runfeng Language: English, German, French Suitable for kids: Yes, from 5 The SCIoI Vision Lab is opening its doors to the public! Join us for a unique experience. Discover Eye Tracking – Live demonstrations will
Where: RBO Lab (5th floor) Time: regular intervals between 5:30 and 10pm Event Type: Experiment By Furkan Davulcu Language: English Suitable for kids: Yes, from 5 Website: www.tu.berlin/en/robotics How do you recognize objects just by touch? Our amazing soft robotic hand can do it too! Fitted with special sensors in its squishy fingers, it feels
Where: RBO Lab (5th floor) Time: at regular intervals between 5:30 and 10pm Event Type: Demonstration By Paul Xu Pu Language: English Suitable for kids: Yes, from 5 Website: www.tu.berlin/en/robotics Do you know our robot can play the escape room game? Join us to explore how we build intelligent systems by combining various abilities. Watch
Where: SCIoI, TU MAR building Room 2.013 Time: at 5:45 and 6:45pm (duration: 30 mins) Event Type: Talk By Prof. Pawel Romanczuk Language: English and German Suitable for kids: No This exciting lecture is meant to give a short intro to collective intelligence, and can also serve as an introduction to the CoBe experiments you
Join the “Excellent Pub Quiz” at the Long Night of the Sciences 2025! Back by popular demand: team up with your friends (2–4 people), come up with a fun team name, and put your knowledge to the test at the Excellent Pub Quiz hosted by Berlin’s seven Clusters of Excellence at TU Berlin. Exciting prizes
This event has been postponed to 29 July 2025. How should we think about Ethics when Machines become part of our social worlds? Alan Winfield and Dafna Burema will explore the ethical and societal dimensions of robotics and AI in an interactive fishbowl and in conversation with Master`s students of the course “Introduction to Modeling
Abstract Minimalistic robot swarms hold great promise for applications in healthcare, disaster response, and environmental monitoring. A key challenge lies in enabling these robots to rapidly and reliably reach consensus using limited communication, computation, and memory. In this talk, we explore how robot swarms can collectively identify the best among multiple discrete options in their
It’s a perplexing time in the study of visual perception. On the one hand, there is a resurgence of models that freely posit a priori structure in the visual system, including priors, generative world models, and physics engines. On the other hand, there is the astonishing a posteriori success of deep neural networks trained only
Abstract: Cognitive neuroscience seeks theories that jointly explain behavioral, neural, and mental states. The dominant approach is to use specialized tasks designed to optimally probe a concept of interest (e.g., episodic memory), and to disentangle behavioral, sensory, and mnemonic factors through design (e.g., by constraining gaze during image recognition). I will present an alternative framework
Embodiment is fundamental to biological intelligence. Brains do not passively receive the world, they actively shape what they sense through self-motion. For nearly a century, we have known that perception and action are deeply entangled, and that organisms must constantly infer whether a sensory change comes from the environment or from themselves. A longstanding idea
With the rise of modern deep learning, neural networks have become an essential part of virtually every artificial intelligence system, making it difficult to imagine different models for intelligent behavior. In contrast, nature provides us with many different mechanisms for intelligent behavior, most of which we have yet to utilize. One such underinvestigated aspect of
How should we think about Ethics when Machines become part of our social worlds? Alan Winfield and Dafna Burema will explore the ethical and societal dimensions of robotics and AI in an interactive fishbowl and in conversation with Master`s students of the course “Introduction to Modeling Collective Behavior”. Alan Winfield, a pioneer in the field
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