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pro vyhledávání: '"Wagner, W. Jacob"'
A novel, learning-based method for in situ estimation of soil properties using a physics-infused neural network (PINN) is presented. The network is trained to produce estimates of soil cohesion, angle of internal friction, soil-tool friction, soil fa
Externí odkaz:
http://arxiv.org/abs/2309.02575
Autor:
Wagner, W. Jacob, Blankenau, Isaac, DeLaTorre, Maribel, Purushottam, Amartya, Soylemezoglu, Ahmet
This work addresses the challenge of developing a localization system for an uncrewed ground vehicle (UGV) operating autonomously in unstructured outdoor Global Navigation Satellite System (GNSS)-denied environments. The goal is to enable accurate ma
Externí odkaz:
http://arxiv.org/abs/2309.02569