Hannah Le


Evolving a Soft Robot to Explore Space

Humans have longed go to be able to travel to space since the 1950s. Such ambition is slowly yet steadily being materialized with projects from NASA, SpaceX and more. The question now becomes: Given the exoplanetary conditions are drastically different from Earth, what would come to our help to explore space? This presentation introduces the concept of using genetic algorithms to emulate the evolution of soft robots for walking in new environments. By borrowing the concepts of Charles Darwin's evolution, "neuroevolution" is a field parallel to reinforcement learnings that can give rise to many interesting applications that can be impactful in space exploration today.

I am a 17-year-old Innovator at North America human accelerator and innovation program, The Knowledge Society. My passion lies mainly in genetic engineering, and I have recently been focusing on Nanotechnology and Machine Learning. I constantly think about how these exponential technologies can merge to open new avenues for treating diseases, regenerating artificial tissues, and prolonging human life.

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