An adaptive loss function for nonlinear MHE adapts its shape to outliers in a few iterations and behaves like L2 loss on clean measurements.
Nonlinear regressive maximum correntropy extended kalman filter with student’s t-kernel for gps navigation
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A multi-channel terrain affordance reward combined with lower-body compliance training via virtual wrenches enables end-to-end PPO-trained humanoid policies to walk at 1 m/s on 0.2 m risers with improved payload robustness.
citing papers explorer
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Outlier-Robust Nonlinear Moving Horizon Estimation using Adaptive Loss Functions
An adaptive loss function for nonlinear MHE adapts its shape to outliers in a few iterations and behaves like L2 loss on clean measurements.
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TACT-ful: Multi-Channel Terrain Affordance and Compliance Training for Payload-Robust Perceptive Humanoid Locomotion
A multi-channel terrain affordance reward combined with lower-body compliance training via virtual wrenches enables end-to-end PPO-trained humanoid policies to walk at 1 m/s on 0.2 m risers with improved payload robustness.