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Uncovering drone intentions using control physics informed machine learning

Engineering and Technology

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.... show more
Citation Metrics
Citations
28
Influential Citations
1
Reference Count
67
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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