logo
ResearchBunny Logo
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.

00:00
00:00
~3 min • Beginner • English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

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

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny