1 citations · 1 across the 4 of their papers we have counts for
4 papers
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy +3
In autonomous and mobile robotics, a principal challenge is resilient real-time environmental perception, particularly in situations characterized by unknown and dynamic elements,…
Image Generation for Efficient Neural Network Training in Autonomous Drone Racing
Theo Morales, Andriy Sarabakha, Erdal Kayacan
Drone racing is a recreational sport in which the goal is to pass through a sequence of gates in a minimum amount of time while avoiding collisions. In autonomous drone racing, one…
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge
Andriy Sarabakha, Erdal Kayacan
This work presents an online learning-based control method for improved trajectory tracking of unmanned aerial vehicles using both deep learning and expert knowledge. The proposed…
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking
Siqi Zhou, Andriy Sarabakha, Erdal Kayacan +2
In this paper, we propose an online learning approach that enables the inverse dynamics model learned for a source robot to be transferred to a target robot (e.g., from one quadrot…