Page
%P
![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Linear Gaussian Processes for Data-Efficient Robot Dynamics Learning
This paper proposes a linear Gaussian Process learning framework which can be used in the both of semi-parametric and non-parametric models. Inspired by the linear relationship in Euler–Lagrange equation, this...
-
Chapter and Conference Paper
Pose Estimation Algorithm for Helicopter Landing Based on YOLO and PNP
Pose estimation measured by the camera is increasingly used in helicopter landing. We present a pose estimation algorithm for autonomous landing. You Only Look Once (YOLO) algorithm is extended to estimate the...