Overview Small unmanned aircraft, such as gliders and fixed-wing drones, are limited by battery capacity and flight time. In nature, birds and glider pilots extend their range… read more

Overview In many real-world systems, multiple agents must cooperate while facing uncertainty about the environment, each other’s capabilities, and the consequences of their actions. Communication between agents… read more

Overview Construction is responsible for a large share of global carbon emissions, partly because it relies heavily on energy-intensive materials such as steel and concrete. Bamboo, by… read more

Overview Traditional numerical weather prediction solves complex physical equations on supercomputers, which is accurate but computationally expensive and often struggles to represent uncertainty. Recent machine-learning models can… read more

Overview Single-cell transcriptomics measures the activity of thousands of genes in individual cells, producing extremely high-dimensional datasets. To interpret these data, researchers typically project them into two… read more

Overview Understanding animal behaviour at large spatial and temporal scales is crucial for ecology and conservation, but it is difficult to monitor wild animals continuously without interfering… read more

Overview Learning to play a musical instrument requires extensive independent practice, but learners cannot always receive regular feedback from a teacher. Led by Michael Sedlmair and Frank… read more

Overview Learning control policies directly on physical systems—robots, vehicles, or industrial machines—is difficult because data collection is expensive, noisy, and safety-critical. Classical control theory provides strong guarantees… read more

Overview Computer-vision systems can classify objects and segment images well, but they often fail when images are distorted or unfamiliar. Humans, by contrast, can interpret a wide… read more

Overview Network models are widely used to study complex systems, but many assume that connections are independent once the communities of the nodes are known. This assumption… read more

Overview Mobile robots, including logistics robots and autonomous vehicles, must estimate their motion and adapt to different surfaces, wheels, and control inputs. This project investigated how robots… read more

Overview Robots still struggle to match human abilities in perceiving and manipulating objects, especially in complex, real-world environments. This project explored how robots can learn to understand… read more

Overview Led by Caterina De Bacco, Hadiseh Safdari, and Martina Contisciani, this project investigated how to detect unusual patterns in complex networks. The project was supported by… read more

Overview Surgeons, like airline pilots, need realistic environments in which to practise complex procedures. However, existing surgical simulators and simple substitutes often fail to reproduce the anatomy,… read more

Overview As automation transforms the nature of work, many roles increasingly depend on people’s ability to plan, prioritze, and make decisions in complex and uncertain situations. The… read more