Dr. Gayan Kahandawa Appuhamillage
Professor, Mechatronics
Campus
Biography
Dr Gayan Kahandawa Appuhamillage’s research expertise includes mechatronic systems, sensors and signal processing, artificial intelligence, mobile robot navigation, instrumentation and structural health monitoring.
Dr Appuhamillage’s current projects include development of rear wheel steering systems for semitrailers (Regional Scholarship and Innovation Fund grant) and development of active restraining system for wheelchairs in public transport (Victorian Government Grant).
Gayan also works on the development of a novel mobile robot navigation algorithm. He currently holds two patents and published an edited book in 2015.
In his PhD project, Gayan worked with Boeing to develop a monitoring system to detect damage in advanced composite structures using embedded fibre optic sensors. He also used fibre optic sensors to monitor West Gate Bridge (VicRoads) and instrumentation and monitoring truck trailers (MaxiTRANS) for performance and structural enhancement.
Gayan has worked at the School of Engineering at Federation University Australia’s Gippsland campus since 2014.
- Publications
Vehicles with cooperative redundancy of multiple steering systems: A hybrid shaft/hydrostatic drive system
- Journals
- DOI reference: 10.1177/09544070241227101
Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning
- Journals
- DOI reference: 10.1109/LRA.2025.3580318
Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development
- Journals
- DOI reference: 10.3390/s25134004
Embedding risk in total productive maintenance
- Journals
- DOI reference: 10.1007/s13198-025-02736-1
A framework for implementing Total Productive Maintenance (TPM) aligned with ISO55001 standard for asset management
A novel soft gripper for baby broccoli robotic harvesting
- Journals
- DOI reference: 10.1016/j.atech.2025.101303
Agoraphilic-3D: A Novel Algorithm for Robot Path Planning in Mapless Uneven Terrains
- Journals
- DOI reference: 10.1109/ACCESS.2025.3631081
Agoraphilic-3D Net: A Deep Learning Method for Attractive Force Estimation in Mapless Path Planning for Unstructured Terrain
- Journals
- DOI reference: 10.1007/s12555-025-0624-2
Novel Dynamic Force Shaping Method for Agoraphilic Navigation Algorithm
- Conference Proceedings
- DOI reference: 10.1109/IECON58223.2025.11221016
