Engineering and TechnologyCommunications Engineering
Uncovering drone intentions using control physics informed machine learning
A. Perrusquía, W. Guo, et al.
Discover how the innovative CPhy-ML framework, developed by Adolfo Perrusquía, Weisi Guo, Benjamin Fraser, and Zhuangkun Wei, revolutionizes drone intention inference using a blend of deep learning and aerospace models. This groundbreaking research significantly enhances trajectory prediction and reward function inference, making strides in reliability and accuracy.
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