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

The rapidly changing climate puts commonly used crop plants under strong pressure. It is therefore essential to develop novel breeding technologies to rapidly enhance crops to better withstand newly emerging stresses. Interestingly, a clear link between transposable elements (TEs), crop improvement and varietal diversification exists. Furthermore, in recent years the importance of (TEs) in evolution and adaptation to stresses has been recognized. However the use of TEs in crop breeding is currently very limited because it is not possible to control TE mobility. My research group has identified a novel highly conserved epigenetic silencing mechanism that represses the activity of TEs in Arabidopsis. We also found drugs capable of inhibiting this mechanism. Because these drugs target highly conserved enzymes we were able to show that our drug treatment is also effective in rice. We are therefore able to produce TE bursts in a controlled manner in virtually any plant. We can thus, for the first time, generate and study TE bursts in crop plants in real time. More importantly, we found that the accumulation of novel insertions of a heat-stress inducible TE produced plants that, at a high frequency, were more resistant to heat stress. This suggests that the stress that was initially applied to activate a specific TE in the parent, lead to an improved tolerance to that specific stress in the progeny of that plant in a very straight-forward manner. In this project I propose to accelerate plant breeding by testing and implementing a revolutionary TE-directed crop improvement technology. For that I plan to 1. Mobilize TEs in crop plants using selected stresses 2. Using these mobilized stress-responsive TEs breed novel crop plants resistant to those selected stresses and 3. Study the genetic and epigenetic impact of TE mobilization on host genomes. This project will have a broad impact on crop improvement and on the basic understanding of the evolutionary importance of TEs.

1 965 625 €

Start date: 2017-06-01, End date: 2022-05-31

Cell fusion is critical for fertilization and development, for instance underlying muscle or bone formation. Cell fusion may also play important roles in regeneration and cancer. A conceptual understanding is emerging that cell fusion requires cell-cell communication, polarization of the cells towards each other, and assembly of a fusion machinery, in which an actin-based structure promotes membrane juxtaposition and fusogenic factors drive membrane fusion. However, in no single system have the molecular nature of all these parts been described, and thus the molecular basis of cell fusion remains poorly understood. This proposal aims to depict the complete fusion process in a single organism, using the simple yeast model Schizosaccharomyces pombe, which has a long track record of discoveries in fundamental cellular processes. These haploid cells, which fuse to generate a diploid zygote, use highly conserved mechanisms of cell-cell communication (through pheromones and GPCR signaling), cell polarization (centred around the small GTPase Cdc42) and fusion. Indeed, we recently showed that these cells assemble an actin-based fusion structure, dubbed the actin fusion focus. Our five aims probe the molecular nature of, and the links between, signaling, polarization and the fusion machinery from initiation to termination of the process. These are: 1: To define the roles and feedback regulation of Cdc42 during cell fusion 2: To understand the molecular mechanisms of actin fusion focus formation 3: To identify the fusogen(s) promoting membrane fusion 4: To probe the GPCR signal for fusion initiation 5: To define the mechanism of fusion termination By combining genetic, optogenetic, biochemical, live-imaging, synthetic and modeling approaches, this project will bring a molecular and conceptual understanding of cell fusion. This work will have far-ranging relevance for cell polarization, cytoskeletal organization, cell signalling and communication, and cell fate regulation.

1 999 956 €

Start date: 2016-10-01, End date: 2021-09-30

The statement that individuals’ immediate social circumstances influence how they think and act in the political sphere is a truism. However, both theoretical and empirical considerations have often prevented political scientists from incorporating this logic into analyses of political behavior. In the CONPOL project we argue that it is necessary to return to the idea that politics follows a social logic in order to push the theoretical and empirical boundaries in explaining political behavior. That is, people do not act as isolated individuals when confronting complex political tasks such as deciding whether to vote and which party or candidate to vote for. Instead politics should be seen as a social experience in which individuals arrive at their decisions within particular social settings: the family, the peer group, the workplace, the neighborhood. In what way do parents and other family members influence an individual’s political choices? What is the role of workmates and neighbors when individuals arrive at political decisions? Do friends and friends’ friends affect how you think and act in the political sphere? To answer such questions the standard approach to gather empirical evidence on political behavior based on national sample surveys needs to be complemented by the use of population wide register data. The empirical core of the CONPOL project is unique Swedish register data. Via the population registers provided by Statistics Sweden it is possible to identify several relevant social settings such as parent-child relations and the location of individuals within workplaces and neighborhoods. The registers also allow us to identify certain network links between individuals. Furthermore, Statistics Sweden holds information on several variables measuring important political traits. A major aim for CONPOL is to complement this information by scanning in and digitalizing election rolls with individual-level information on turnout across several elections.

1 621 940 €

Start date: 2016-09-01, End date: 2021-08-31