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models as tools to map neural systems onto mathematically well-understood objects. Pioneering the field, the ACT has developed several innovations, including deep learning for guidance, navigation and
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representative lunar analogue environment where technologies and surface robotic systems can be matured through iterative test campaigns. These cover areas such as mobility and navigation on regolith
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