Bio & Vision
Bio & Vision
Embedded Files
All website content is protected by copyright © and is for general information only, not professional advice. Contact me for more details!
As a passionate technology enthusiast focused on Industry 4.0/5.0 and Society 5.0, Peter is currently a graduate researcher at Deakin University, advancing an early-stage hybrid Cloud–Edge–Robotics (CER) architectural platform for next-generation Industrial Cyber-Physical Systems (NG-ICPS) alongside AI breakthroughs. His work is grounded in Cloud–Fog Automation (CFA) framework and 3C co-design principles (Communication–Computing–Control) to enable time-critical, scalable, and resilient networked autonomy across fleets of robots, so any machine can move and cooperate safely with humans, by unifying IT-OT-CT domains.
To bring Physical/Embodied AI into the world, deterministic connectivity (TSN, 5G/6G, AI-native Network) is the first core, and distributed intelligence, known as computing in gigantic AI infrastructure (federated/split learning, on-device inference) is the second core, parallel with massive energy requirements. He studied QoS-aware control, adaptive task offloading, and sim-to-real deployment in multi-robot collaboration and telerobotics settings.
Why now?
Industry is shifting from isolated cells to distributed, AI-enabled factories and field robots. Scaling physical AI demands deterministic networks, accountable edge intelligence, and standards-based orchestration across cloud tiers, edge nodes, and machines. Peter's research addresses the core bottlenecks, including latency, reliability, energy, and safety, delivering a reusable CER reference architectural platform and open testbed that researchers and stakeholders can adopt to shorten integration time, cut energy use, and improve safety in real deployments ready for the blooming of the AI application era.
With a technical degree in Robotics & Mechatronics Engineering from RMIT University, hands-on experience at ABB Robotics, and lived experience, Peter's core values integrate rigorous academia with practical industrial automation know-how and tech passion. His research team develops a CER architecture and testbed spanning cloud, edge, and robotics tiers (ROS2, K8s, AI accelerators, etc.) to evaluate latency, reliability, safety, and energy efficiency under real-world constraints, then orchestrate these systems with AI-driven QoS-aware control entities, aligning with the following Sustainable Development Goal (SDGs):
Core SDGs: #9 - #4 - #12 - #17 | Indirect SDGs: #7 - #8 - #11
Research Interests
Research Interests
Cloud-Edge-Robotics Architecture (CER)
Autonomous Networked Robotics (AuNetRob)
Industrial Cyber-Physical Systems (ICPS)
Industrial Internet of Things (IIoT)
Cloud-Fog Automation (CFA)
Cloud/Fog/Edge Computing
Teleoperation/Telerobotics
Autonomous Systems/Industrial Automation
Immersive Technologies (AR & MR)
Extended to:
Digital Twins (DTs)
Embodied AI/Physical AI (EAI)
Multi-Agent Systems (MAS)
Cyber-Physical Security (CPS)
Human-Robot Interaction (HRI)
Human-Robot Collaboration (HRC)
Human-Centric Designs (HCD)
Emerging Technologies
Teaching Activities
Teaching Activities
Publications
Publications
Journal Articles
Journal Articles
Enhancing Real-Time Robot Teleoperation with Immersive Virtual Reality in Industrial IoT Networks
Toan Luu, Quang Nguyen, Thien Tran, Minh Tran, Songlin Ding, Jonathan Kua, and Thuong Hoang
International Journal of Advanced Manufacturing Technology - JAMT (Q1-2025) | IF 3.7 (2025)
DOI: 10.1007/s00170-025-16236-w (Springer)
Empowering Robotic Training with Kinesthetic Learning and Digital Twins in Human–Centric Industrial Systems
Thien Tran, Quang Nguyen, Toan Luu, Minh Tran, Jonathan Kua, Thuong Hoang, and Man Dien
Journal of Industrial Information Integration - JII (Q1-2025) | IF 11.2 (2025)
DOI: 10.1016/j.jii.2024.100743 (ScienceDirect)
Refereed Conference Proceedings
Refereed Conference Proceedings
Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems
Thien Tran, Jonathan Kua, Thuong Hoang, Minh Tran, Honghao Lyu, and Jiong Jin (accepted and presented)
24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2606.00552 (arXir preprint)
DAG-Based QoS-Aware Dynamic Task Placement for Networked Multi-Stage Control Pipelines
Thien Tran, Jonathan Kua, Thuong Hoang, Minh Tran, Yuemin Ding, and Jiong Jin (accepted and presented)
24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2605.19887 (arXir preprint)
A Four-Tier Communication Architecture and Sim-to-Real Validation of a Graphical Open-Source Platform for Robotic Engineering Education
Thien Tran, Khang Duong, Minh Tran, Jonathan Kua, Thuong Hoang, and Jiong Jin (accepted and presented)
24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2606.00550 (arXir preprint)
A Modular Event-Driven Software Architecture for Open-Source Industrial IoT Edge Gateways
Pei Yu Wong, Thien Tran, Hudyjaya Siswoyo Jo, and Jonathan Kua (accepted and presented)
24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | Pending ... (arXir preprint)
CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation
Thien Tran, Jonathan Kua, Minh Tran, Honghao Lyu, Thuong Hoang, and Jiong Jin
23rd IEEE International Conference on Industrial Informatics (INDIN), July 12-15, 2025, Kunming, China
DOI: 10.1109/INDIN64977.2025.11279161 (IEEE) | 10.48550/arXiv.2506.17991 (arXir preprint)
Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
Thien Tran, Quang Nguyen, Jonathan Kua, Minh Tran, Toan Luu, Thuong Hoang, and Jiong Jin
23rd IEEE International Conference on Industrial Informatics (INDIN), July 12-15, 2025, Kunming, China
DOI: 10.1109/INDIN64977.2025.11279683 (IEEE) | 10.48550/arXiv.2506.18024 (arXir preprint)
Human-Centred Interfaces on Engineering Teleoperation: A Case Study of Utilising Virtual Reality (VR) with Robotic Systems
Quang Nguyen, Thien Tran, Toan Luu, Minh Tran, Gholam Reza Emad, and Thuong Hoang
2024 7th International Conference on Information and Communications Technology (ICOIACT), November 20-21, 2024, Ishikawa, Japan
DOI: 10.1109/ICOIACT64819.2024.10912837 (IEEE)
Collision Classification for Unmanned Surface Vehicle using Inertial Measurement Unit Data
Quang Nguyen, Toan Luu, Thien Tran, Chuong Nguyen, Minh Tran, and Hung Nguyen
2024 2nd International Conference on Mechatronics, Control and Robotics (ICMCR), February 27-29, 2024, Jeju, Republic of Korea
DOI: 10.1109/ICMCR60777.2024.10481927 (IEEE)
Application of Mixed Reality in Industrial and Collaborative Robot Control
Thien Tran, Man Dien, Duc Trinh, Minh Tran, and Thuong Hoang
2023 6th International Conference on Control, Robotics and Informatics (ICCRI), May 26-28, 2023, Danang, Vietnam
DOI: 10.1109/ICCRI58865.2023.00012 (IEEE)
Media & Services
Media & Services
Academic Services
Academic Services
Reviewer: IEEE Access
Funds & Projects
Funds & Projects
Page updated
Google Sites
Report abuse