arXiv Robotics research summaries for February 01, 2024.

Today's Research Themes (AI-Generated):

• Advances in model-free, adaptive control autopilots for fixed-wing aircraft that forego conventional aerodynamic modeling.

• Integration of neural networks with model-based filters enhances state estimation in legged robotics across diverse terrains.

• A novel loss function that improves neural network training efficiency for manipulator control by excluding dead zones.

• Comparative study exposing similar trajectory estimation accuracy between Gaussian process regression and spline-based methods in robotics.

• Introduction of the GREENBOT dataset to challenge SLAM methods in complex agricultural greenhouse environments.