Bio & Vision
Bio & Vision
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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 framework for Next-Generation Industrial Cyber-Physical Systems (NG-ICPS) alongside AI/SI breakthroughs. His work is grounded in the Cloud–Fog Automation (CFA) paradigm and 4C co-design principles (Cognition, Control, Computing, and Communication) 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 and computing in gigantic AI/SI infrastructure (federated/split learning, on-device inference), is the second core, alongside massive energy requirements. He studied QoS-aware control, adaptive/dynamic task offloading, and sim-to-real deployment in multi-robot collaboration and telerobotics settings, extending to MAS.
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 core bottlenecks, latency, reliability, energy, and safety, and delivers a reusable CER reference architecture 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 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 orchestrates these systems with AI-driven QoS-aware control entities, aligning with the following Sustainable Development Goals (SDGs):
Core SDGs: #9 - #4 - #12 - #17 | Indirect SDGs: #7 - #8 - #11
Research Interests
Research Interests
Focus areas:
Cloud-Edge-Robotics Architectural Framework (CER)
Teleoperation, Telerobotics, and Remote Controls
Autonomous Networked Robotics
Industrial Cyber-Physical Systems (ICPS)
(Industrial) Internet of Things (IoT/IIoT)
Cloud-Fog Automation (CFA)
Cloud/Fog/Edge Computing
Autonomous Systems and Industrial Automation
Immersive Technologies (VR, AR, and MR)
Extended to:
Digital Twins (DTs)
Embodied AI (EAI) and Physical AI (PAI)
Multi-Agent Systems (MAS)
Cyber-Physical Security
Human-Robot Interaction (HRI)
Human-Robot Collaboration (HRC)
Human-Centric Design (HCD)
Artificial Intelligence (AI) and Super Intelligence (SI)
Cognitive Technology and Emerging Technologies
Teaching Activities
Teaching Activities
Publications
Publications
Journal Articles
Journal Articles
Pending ...
A Situational Awareness-Driven Human-Machine Interface Framework for Enhancing Operators’ Performance in Agricultural Robotic Teleoperation
Khang Duong, Thien Tran, Minh Tran, Dinh-Son Vu, and Byron Mason
Journal of Intelligent & Robotic Systems - JINT (SJR: Q1-2025) | IF 3.1 (2025)
DOI: 10.1007/s10846-026-02469-8 (Springer)
Published Online: 30 September 2026
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 (SJR: Q1-2025) | IF 3.7 (2025)
DOI: 10.1007/s00170-025-16236-w (Springer)
Published Online: 13 August 2025
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 (SJR: Q1-2025) | IF 11.2 (2025)
DOI: 10.1016/j.jii.2024.100743 (ScienceDirect)
Published Online: 03 December 2024
Refereed Conference Proceedings
Refereed Conference Proceedings
Pending ...
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)
2026 24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2606.00552 (arXiv preprint) | Available Online: Pending ...
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)
2026 24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2605.19887 (arXiv preprint) | Available Online: Pending ...
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)
2026 24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | 10.48550/arXiv.2606.00550 (arXiv preprint) | Available Online: Pending ...
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)
2026 24th IEEE International Conference on Industrial Informatics (INDIN), July 26-29, 2026, Melbourne, Australia
DOI: Pending ... (IEEE) | Pending ... (arXiv preprint) | Available Online: Pending ...
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
2025 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 (arXiv preprint) | Available Online: 06 January 2026
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
2025 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 (arXiv preprint) | Available Online: 06 January 2026
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) | Available Online: 13 March 2025
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) | Available Online: 01 April 2024
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) | Available Online: 19 February 2024
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