IA Cobotics Lab
Phyical AI
RMIT University
The goal is not just automation, but the ability to handle complex, variable tasks that traditionally require human judgment and adaptability.Through our work, we aim to advance Physical AI systems that make human–robot collaboration practical, scalable, and genuinely useful across domains:
- Autonomous and adaptive cobotic systems
- Perception-driven intelligence
- Embodied AI for real-world decision-making and control
- Human–robot interaction and collaboration strategies
- Soft and compliant robotics for safe interaction
- Healthcare-oriented collaborative robotic systems
- Lifecycle frameworks for evaluating, deploying, and managing robotic systems in practice
Academic Research Team
A/Prof Ehsan Asadi
Team Leader, Robotics, IEEE Senior Member, A/Editor IEEE RA-LProf Alireza Bab-Hadiashar
Research Leader, Visual-AI, Intelligent Automation (IA) GroupA/Prof Hamid Khayyam
Deputy Leader, Modelling, Control, Complex Systems, AI, EnergyProf Reza Hoseinnezhad
Multi-Sensor Fusion, Signal Processing & Machine VisionDr Amirali K-Gostar
Multi-Sensor Fusion & Target TrackingA/Prof Ruwan Tennakoon
AI and Machine LearningDr Wei Qin Chuah
Roboics VisionDr David Hinwood
Research Fellow - Robotics ManipulationHDR Research Team
Christian Milianti
HDR CandidateData-efficient Machine Learning for Robotic Perception and Manipulation
Thilina Tharanga Malagalage Don
HDR CandidateExtended Robotic Reality for Robot Learning
Shanuka Dodampegama
HDR CandidateRobotic Intelligence for Construction Waste Sorting
Subash Gautam
HDR CandidateVision Systems for Processes Control in Metal Additive Manufacturing
Shayan Azizi
HDR CandidateDeveloping the Next Generation Materials Science Lab
Umair Naeem
HDR CandidateAI-Driven Photovoltaic Inspection Systems Using Multi-Modal Imaging
RESEARCH advisers
Prof Ivan Cole
Additive Manufacturing
Prof Olga Troynikov
Human-Centered Automation
Prof Stuart Bateman
Aerospace & Advanced Manufacturing
Prof Mark Easton
Manufacturing & Materials
Research Projects
Intelligent Automation and Service Robots for Infrastructure and Construction
Deploying robots in collaboration with humans is seen as an enabler of major changes in construction productivity for various tasks, such as digital twain, quality/compliance inspection, progress monitoring and automated interior finishing.
Robot Mechanisms and Systems Design
IEEE Transactions on Industrial Electronics, 2020 IROS 2020 Mechanism and Machine Theory Robotics and Computer-Integrated Manufacturing FToMM Symposium on Robot Design, Dynamics and Control
Extended Reality (XR) in Robotics
XR devices offer a range of spatial perception capabilities that can enhance human and robot collaboration. From 6DoF tracking to depth perception, gesture recognition, and environmental mapping, these features enable applications spanning human and robot interaction for manufacturing, healthcare, and beyond, XR devices continue to push the boundaries of spatial perception and redefine how we interact with robots
Robotic Vision and Perception
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Robotics Additive Manufacturing
Robotic additive manufacturing is a technology that can deposit material and fabricate complex parts. Part geometry during the process can negatively affect the shape and size of the final manufactured object. In-process spatio-temporal 3D reconstruction, also known as 4D reconstruction, allows for early detection of deviations from the design in robotic additive manufacturing, thus providing the opportunity to rectify at an early stage, making the process more robust, efficient and productive.
AI-Driven Photovoltaic Inspection Systems Using Multi-Modal Imaging
A multi-modal AI-driven framework for photovoltaic inspection, combining UAV-based aerial imaging for large-scale soiling detection with Electroluminescence imaging for detailed cell-level defect diagnostics. The system integrates hardware, signal processing, and domain-adaptive AI for robust real-world deployment.
Robotic Challenges and Capstones
Advanced Robotics System Course
Post Graduate Students, Engagement with Cobots 2023
Contact
- 58 Cardigan St, Carlton Melbourne, Victoria, Australia