HERCULES — Tele‑Robotic Ultrasound
The world's first haptically‑enabled tele‑robotic ultrasound system, validated in clinical trials and featured in IEEE Access.
Learn more →A collection of projects in robotics, artificial intelligence, data science, and autonomous systems.
The world's first haptically‑enabled tele‑robotic ultrasound system, validated in clinical trials and featured in IEEE Access.
Learn more →Senior data science leadership at UQ Poche Centre for Indigenous Health, leading analyses of STI and BBV patterns across 50+ ACCHOs, including pregnancy-to-postpartum maternal care pathways.
Learn more →End‑to‑end EEG classification workflow with subject‑aware splitting, feature engineering, and reproducible model evaluation on imbalanced multiclass data.
Learn more →Melbourne Bionics Institute-led TSFRESH-based machine learning pipeline for tinnitus classification from fNIRS hbo/hbr signals in resting and stimulus-triggered conditions.
Learn more →Vision‑based real‑time ML/DL systems enabling autonomous military convoys with vehicle‑to‑vehicle networking.
Learn more →Multi‑modal learning framework for robotic surgical platforms, using synchronized endoscopic images and joint data.
Learn more →Non-invasive, video-based motor-skill assessment platform with real-time mobile feedback, privacy-preserving processing, and expert-aligned AI scoring for children aged 4-12.
Learn more →Adaptive neural filter approach for stable bilateral teleoperation under unknown and time‑varying communication delays.
Learn more →Deep learning frameworks for complex surgical task recognition, classification, and performance assessment.
Learn more →Instance‑level surgical instrument segmentation using deep learning for context‑aware robotic surgery.
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