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the requirements and conduct theoretical investigation into advanced space debris mitigation approaches, such as those based on risk metrics [1], and incentive mechanisms under different technological and regulatory
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well as concepts based on seed dispersal mechanisms for planetary reentry/exploration. The overarching goal of this research line is to develop mechanistic and computational models that capture how biological
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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sea-urchin spine micro-architectures and using these as templates for multifunctional, mechanically efficient structures. In parallel, ACT researchers have explored spider-inspired soft actuators