Technology & Innovation in Industry
Event Details
Engage with cutting-edge innovation and research from Deakin University, presented through a special collaboration between GREG and the Deakin IEEE Student Branch. The event includes two technical presentations exploring Augmented Reality for Industrial Maintenance and Robust Control of Autonomous Ground Vehicles, followed by an exclusive tour at the Institute for Intelligent Systems Research and Innovation (IISRI) and networking.
Open to all — students, professionals, members & non-members. Registration via Humanitix is required to attend.
- Date: 19 May 2026, Tuesday
- Time: 02:00 PM – 04:00 PM
Registration Link: https://events.humanitix.com/technology-and-innovation-in-industry
Venue
Deakin University - Institute for Intelligent Systems Research and Innovation (IISRI), Building NS (Western Entrance – Opposite to ManuFutures).
Haptic Lab
Waurn Ponds campus, 75 Pigdons Rd, Waurn Ponds VIC 3216
Date and Time
Location
Hosts
Registration
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- Deakin University - Institute for Intelligent Systems Research and Innovation (IISRI)
- 75 Pigdons Rd, Waurn Ponds
- Geelong, Victoria
- Australia 3216
- Building: NS
- Room Number: Haptic Lab
- Click here for Map
- Contact Event Host
- Co-sponsored by Deakin University IEEE Student Branch
Speakers
Igor
User Adoption of Augmented Reality Technologies in Industrial Maintenance
The presentation will discuss the role of Augmented Reality (AR) in empowering the future workforce and improving operators’ performance in maintenance. It will also outline the key findings from research on user adoption of these AR assistance systems to enable a more human-centred and resilient manufacturing.
Abdur
Environment & Uncertainty-Aware Robust Controller for Varying Speed Autonomous Ground Vehicles
Traffic accidents caused by driver errors highlight the need for safer transportation systems, where autonomous ground vehicles (AGVs) can significantly improve safety and mobility. This research proposes a robust control strategy based on the Linear Parameter Varying framework to address challenges arising from varying vehicle speeds, environmental disturbances, and system uncertainties. The proposed controller adapts to changing operating conditions to maintain vehicle stability and accurate trajectory tracking. The approach aims to enhance the safety, reliability, and performance of autonomous driving systems through high-fidelity vehicle dynamics simulations.