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Dr. Gayan Kahandawa Appuhamillage

Professor, Mechatronics

Campus

Churchill 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

Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning

Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development

Embedding risk in total productive maintenance

A framework for implementing Total Productive Maintenance (TPM) aligned with ISO55001 standard for asset management

  • Conference Proceedings
  • DOI reference:

A novel soft gripper for baby broccoli robotic harvesting

Agoraphilic-3D: A Novel Algorithm for Robot Path Planning in Mapless Uneven Terrains

Agoraphilic-3D Net: A Deep Learning Method for Attractive Force Estimation in Mapless Path Planning for Unstructured Terrain

Novel Dynamic Force Shaping Method for Agoraphilic Navigation Algorithm