2 citations · 2 across the 5 of their papers we have counts for
5 papers
Trajectory Planning for a Multi-UAV Rigid-Payload Cascaded Transportation System Based on Enhanced Tube-RRT*
Jianqiao Yu, Jia Li, Tianhua Gao
This paper presents a two-stage trajectory planning framework for a multi-UAV rigid-payload cascaded transportation system, aiming to address planning challenges in densely clutter…
A Dimension-Decomposed Learning Framework for Online Disturbance Identification in Quadrotor SE(3) Control
Tianhua Gao
Quadrotor stability under complex dynamic disturbances and model uncertainties poses significant challenges. One of them remains the underfitting problem in high-dimensional featur…
Robustness Enhancement for Multi-Quadrotor Centralized Transportation System via Online Tuning and Learning
Tianhua Gao, Kohji Tomita, Akiya Kamimura
This paper introduces an adaptive-neuro geometric control for a centralized multi-quadrotor cooperative transportation system, which enhances both adaptivity and disturbance reject…
Online Identification using Adaptive Laws and Neural Networks for Multi-Quadrotor Centralized Transportation System
Tianhua Gao, Kohji Tomita, Akiya Kamimura
This paper introduces an adaptive-neuro identification method that enhances the robustness of a centralized multi-quadrotor transportation system. This method leverages online tuni…
A Sliced Learning Framework for Online Disturbance Identification in Quadrotor SO(3) Attitude Control
Tianhua Gao, Masashi Izumita, Kohji Tomita +1
This paper introduces a dimension-decomposed geometric learning framework called Sliced Learning for disturbance identification in quadrotor geometric attitude control. Instead of…