ERC FUNDED PROJECTS

Drones are disrupting industries, such as agriculture, package delivery, inspection, and search and rescue. However, they are still either controlled by a human pilot or heavily rely on GPS for navigating autonomously. The alternative to GPS are onboard sensors, such as cameras: from the raw data, a local 3D map of the environment is built, which is then used to plan a safe trajectory to the goal. While the underlying algorithms are well understood, we are still far from having autonomous drones that can navigate through complex environments as good as human pilots. State-of-the-art perception and control algorithms are mature but not robust: coping with unreliable state estimation, low-latency perception, real-time planning in dynamic environments, and tight coupling of perception and action under severe resource constraints are all still unsolved research problems. Another issue is that, because battery energy density is increasing at a very slow rate, drones need to navigate faster in order to accomplish more within their limited flight time. To obtain more agile robots, we need faster sensors and low-latency processing. The goal of this project is to develop novel scientific methods that would allow me to demonstrate autonomous, vision-based, agile quadrotor navigation in unknown, GPS-denied, and cluttered environments with possibly moving obstacles, which can be as effective in terms of maneuverability and agility as those of professional drone pilots. The outcome would not only be beneficial for disaster response scenarios, but also for other scenarios, such as aerial delivery or inspection. To achieve this ambitious goal, I will first develop robust, low-latency, multimodal perception algorithms that combine the advantages of standard cameras with event cameras. Then, I will develop novel methods that unify perception and state estimation together with planning and control to enable agile maneuvers through cluttered, unknown, and dynamic environments.

2 000 000 €

Start date: 2020-09-01, End date: 2025-08-31

Spider silk is Nature’s high performance material that has the potential to revolutionize the materials industry. However, production and spinning of artificial spider silk fibers are challenging, and current methods to produce silk fibers include denaturing conditions which prevent the silk proteins from assembling into fibers in the same complex way as native silk proteins do. In order to fulfill the potential of spider silk we need to increase our understanding of the silk formation process and decipher how protein folding and interactions relate to mechanical properties of the resulting silk fiber. Recent insights into the physiology and molecular mechanisms of the spinning process has made it possible to develop a biomimetic artificial spider silk spinning device (see our publications Andersson et al. Nat Chem Biol. 2017; Otikovs et al. Angew Chemie Int Engl Ed. 2017). We are, for the first time, able to spin artificial silk fibers in which the proteins adopt correct secondary, tertiary and quaternary structures. The overall objective of ARTSILK is to build on these recent technical leaps and use state-of-the-art technologies to generate artificial silk fibers that are equal or superior to native spider silk in terms of toughness and tensile strength. To reach the overall objective we will use the recently mapped spider genome, protein engineering and single cell RNA (ScRNA) sequencing to design novel silk proteins for fiber production. We will also study the relationship between protein secondary structure formation and fiber mechanical properties in order to decipher the ques that determine mechanical properties of the fiber. This knowledge will be important also for the basic understanding of how soluble proteins covert into b-sheet rich fibrils in, e.g., Alzheimer’s disease. Finally, we will use microfluidic chips to engineer the next generation spinning device and 3D-printing techniques to make reproducible three-dimensional structures of spider silk.

2 000 000 €

Start date: 2019-05-01, End date: 2024-04-30

While the crisis of the territorial nation-state in the Middle East has once again been brought to a head by the wars in Iraq and Syria, it cannot be simply understood as the logical consequence of an imported political construction. Based on two epistemological notions – borderlands as histoire-problème (history-as-problem) and the co-production of borders between state and society – this research project proposes to rethink the classical historical narrative about the emergence of the post-Ottoman Middle East. Taking its cue from trans-border phenomena and thus paying attention to the circulation of people, goods and ideas as well as to everyday encounters between local actors and state representatives, the project will be guided by four principle objectives to offer: • A socio-historical analysis of state violence in the borderlands of the Middle East; • An examination of the capacity of border populations to create the history of the borderlands, nation-states, and the region as a whole; • A study of the frontier effects based around the notions of subjectivity, space and time, and involving various levels of observation (macro, meso and micro) in order to identify the ruptures and continuities evoked by the delineation of new borderlines; and • A historical lens through which to make sense of current events in Syria and Iraq, and possibly orient conflict-resolution practitioners. Through the exploitation of a wide range of sources (diplomatic, administrative and military records, missionary documents, newspapers) and by looking at the social construction of international frontiers at the borderlands located between Turkey, Iraq and Syria in the interwar era, the research project will provide a much more holistic yet finely-grained understanding of the formation of the territorial state in the region in the aftermath of the First World War as well as a historical perspective on the on-going armed conflicts.

1 997 675 €

Start date: 2017-09-01, End date: 2022-08-31

"Considerable investments have been made in Europe and worldwide in research data infrastructures. Instead of a general lack of data about data, it has become apparent that the pivotal factor that drastically constrains the use of data is the absence of contextual knowledge about how data was created and how it has been used. This applies especially to many branches of SSH research where data is highly heterogeneous, both by its kind (e.g. being qualitative, quantitative, naturalistic, purposefully created) and origins (e.g. being historical/contemporary, from different contexts and geographical places). The problem is that there may be enough metadata (data about data) but there is too little paradata (data on the processes of its creation and use). In contrast to the rather straightforward problem of describing the data, the high-risk/high-gain problem no-one has managed to solve, is the lack of comprehensive understanding of what information about the creation and use of research data is needed and how to capture enough of that information to make the data reusable and to avoid the risk that currently collected vast amounts of research data become useless in the future. The wickedness of the problem lies in the practical impossibility to document and keep everything and the difficulty to determine optimal procedures for capturing just enough. With an empirical focus on archaeological and cultural heritage data, which stands out by its extreme heterogeneity and rapid accumulation due to the scale of ongoing development-led archaeological fieldwork, CAPTURE develops an in-depth understanding of how paradata is #1 created and #2 used at the moment, #3 elicits methods for capturing paradata on the basis of the findings of #1-2, #4 tests the new methods in field trials, and #5 synthesises the findings in a reference model to inform the capturing of paradata and enabling data-intensive research using heterogeneous research data stemming from diverse origins. "

1 944 162 €

Start date: 2019-05-01, End date: 2024-04-30