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such as vehicle cabins present a lot of clutter and multipath masking the signature of the person or people to observe; and 2) the human body is a rather complicated object to observe with radar, as we want
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adapt to the patient. You will thus pave the way to next-generation small- to large-scale neuromorphic architectures inspired by the human neocortex, targeting low-footprint adaptive devices such as
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The research programme DeepNL aims to improve the fundamental understanding of the dynamics of the deep subsurface under the influence of human interventions and the resulting effects
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Challenge: Human Behavior Recognition and Generation with Large Contextural Behavior Model Change: Incorporate context for human behavior recogintion and generation Impact: Advanced techniques
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Challenge: Climate shocks hit poor households hardest. Change: Improved quantification of climate shocks to household welfare. Impact: Develop pro-poor strategies to improve human security
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systems’ technologies. On the requirements side, rapid adaptability to ever changing scenarios, optimal capabilities deployment and resilience along with high-level situational awareness and minimum human
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that might (or not) act as a coordinated swarm, which is a very timely problem for safety of public spaces and national assets such as airports or stadiums, not just in conflict scenarios but also for every
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respond to biotic and abiotic stress (e.g. changing temperature and vapor pressure deficit, water, fungi, insects, disease) and disturbances (e.g. fire, human activity) and how resilient it is to climate
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How can autonomous robots prove that their plans are always safe? Ensuring safe planning and control is paramount when we deploy autonomous robots in complex environments around humans, such as in
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. Change. Impact! From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and