 AERIALIST takes on the challenge of advancing assistive health technologies to provide adaptive, reliable, and intelligent solutions. Our mission is to create systems that seamlessly adapt to users, environments, and tasks, offering human- like, intuitive, and symbiotic assistance. To achieve this, our research leverages the vast potential of recent theoretical machine-learning developments, translating them into real-world physical interactions between humans and engineering systems. The Cutting Edge: Realising AI for Real-World Physical Interactions As noted by [Zador et al. 20237], despite the remarkable strides in AI in-silico, such as ChatGTP, today’s AI systems fall short in comparison to the sensorimotor capabilities of a 4-year-old child or simple animals when applied to real-world physical interactions. AERIALIST stands at the forefront of artificial intelligence (AI) for real-world physical interactions, selecting one of the most challenging application fields: assistive health technologies. Here, the convergence of uncertainties in humans, engineering systems, diseases, and health problems presents an unparalleled opportunity for impactful innovation.

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DN AERIALIST

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