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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...
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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...
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Chapter and Conference Paper
Safety Control of Quadrotor by Control Barrier Function Based-on Data-Driven Hamilton Dynamics Model
The accurate trajectory tracking and obstacle avoidance task of quadrotor is a difficult problem, because its dynamics is difficult to accurately establish, resulting in complex controller design. In order to ...