Phi Vu Tran

According to our database, Phi Vu Tran authored at least 26 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles.

Vu Phi Tran, Asanka G. Perera, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti

IEEE Trans. Intell. Transp. Syst., November, 2023

Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments.

Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti

IEEE CAA J. Autom. Sinica, March, 2023

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems.

Vu Phi Tran, Mohamed A. Mabrok, Sreenatha G. Anavatti, Matthew A. Garratt, Ian R. Petersen

IEEE Trans. Cybern., 2023

Multi-gas source localization and mapping by flocking robots.

Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Alex S. Leong, Mohammad Zamani

Inf. Fusion, 2023

Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles.

Asanka G. Perera, Vu Phi Tran, Sreenatha G. Anavatti, Kathryn Kasmarik, Matthew Garratt

CoRR, 2023

Boosting Semi-Supervised Few-Shot Object Detection with SoftER Teacher.

Phi Vu Tran

CoRR, 2023

2022

Frontier-led swarming: Robust multi-robot coverage of unknown environments.

Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Shadi Abpeikar

Swarm Evol. Comput., 2022

Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs.

Shadi Abpeikar, Kathryn Kasmarik, Phi Vu Tran, Matt Garratt

Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

2021

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments.

Vu Phi Tran, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti

IEEE Trans. Ind. Informatics, 2021

Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle.

Vu Phi Tran, Fendy Santoso, Matthew A. Garratt, Ian R. Petersen

IEEE Trans. Ind. Electron., 2021

Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing.

Vu Phi Tran, Fendy Santoso, Matthew A. Garratt, Sreenatha G. Anavatti

IEEE Trans. Ind. Electron., 2021

Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers.

Vu Phi Tran, Fendy Santoso, Matthew A. Garratt

IEEE Trans. Aerosp. Electron. Syst., 2021

Hybrid adaptive negative imaginary- neural-fuzzy control with model identification for a quadrotor.

Vu Phi Tran, Mohamed A. Mabrok, Matthew A. Garratt, Ian R. Petersen

IFAC J. Syst. Control., 2021

Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory.

Vu Phi Tran, Matthew A. Garratt, Ian R. Petersen

IFAC J. Syst. Control., 2021

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm.

Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti

CoRR, 2021

SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama.

Phi Vu Tran

CoRR, 2021

SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama.

Phi Vu Tran

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding.

Hung The Nguyen, Tung Nguyen, Vu Phi Tran, Matthew Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Michael Barlow, Hussein A. Abbass

CoRR, 2020

2019

Semi-Supervised Learning with Self-Supervised Networks.

Phi Vu Tran

CoRR, 2019

2018

Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory.

Vu Phi Tran, Matthew Garratt, Ian R. Petersen

CoRR, 2018

Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments.

Vu Phi Tran, Matthew Garratt, Ian R. Petersen

CoRR, 2018

Multi-Task Graph Autoencoders.

Phi Vu Tran

CoRR, 2018

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction.

Hung The Nguyen, Vu Phi Tran, Tung Nguyen, Matthew Garratt, Kathryn Kasmarik, Michael Barlow, Sreenatha G. Anavatti, Hussein A. Abbass

CoRR, 2018

Learning to Make Predictions on Graphs with Autoencoders.

Phi Vu Tran

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Formation control of multi-UAVs using negative-imaginary systems theory.

Vu Phi Tran, Matthew Garratt, Ian R. Petersen

Proceedings of the 11th Asian Control Conference, 2017

2016

A Fully Convolutional Neural Network for Cardiac Segmentation in Short-Axis MRI.

Phi Vu Tran

CoRR, 2016