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Spatial Perception and Embodied Autonomy Research

CORDIS · observation · Publication date unknown

d approach of human-engineered designs and investigate the holistic co-synthesis of task-specific flying robot embodiment and autonomy through a synergistic combination of evolutionary algorithms and deep learning for navigation. We aim to show the benefits of breeding unconventional ""bodies"" and ""brains”. Bodies rely on an evolutionary combination of rotary wing components, and soft and rigid elements, whereas brains exploit the latest progress in deep neural networks. This fundamental change in the design procedure offers a unique pathway towards more capable, more resilient, intrinsically safe flying robots. Upon its success, SPEAR will drive the robotics community forward and towards automatically designed and task-optimized flying machines with superior performance." Aerial robots, Embodiment, Navigation Policy, Evolutionary Algorithms

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recordType

award

status

SIGNED

region

EU

value

6746086.25

unit

EUR