The Application of Deep Learning Techniques in Advanced Robotics for Aerospace Manufacturing: Enhancing Efficiency and Competitiveness in the USA
Keywords:
Advanced Robotics, Aerospace ManufacturingAbstract
- Introduction
With looming competition from countries that are rapidly expanding their manufacturing and automation efforts, a sense of urgency has emerged around advancing robotics for aerospace manufacturing in the USA. This effort would both directly address the shortage of skilled workers for aerospace manufacturing and indirectly bolster the existing workforce across many manufacturing industries. Recent advances in deep learning, particularly in computer vision, natural language processing, and reinforcement learning, open the door for new robotic applications previously thought unattainable. Unfortunately, many of these breakthroughs are not being actively pursued within the robotics community [1]. The effectiveness with which the USA responds to these changes will have ramifications that extend well into the future. This report details a robust research agenda applying recent advances in deep learning to robotics problems relevant to aerospace manufacturing.
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