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Robotics · Control · Applied ML
I build dependable, human-centred autonomous systems.
First-Class MEng (International), Cardiff University · KAIST exchange. I specialise in ROS-based perception & navigation, control design, and rapid prototyping from simulation to hardware.
- ROS (Noetic/2), Python & C++ · RTAB-Map · RealSense
- Control: state-space, digital control, MPC
- RL & simulation: PPO, evaluation, reproducible pipelines
Robotics & Control
End-to-end autonomy: sensing, SLAM, path planning, and actuation with clear KPIs.
Applied ML
RL for behaviour, practical MLOps, fast iteration from baseline to validated results.
Systems Thinking
Documentation, safety, and testable interfaces that help teams ship with confidence.
Featured projects
RL Quadruped Sumo
Trained full ANYmal with joint-torque control and a two-stage curriculum; analysed learning curves, hyperparameters, and emergent tactics under adversarial contact.
Wearable Navigation System
Built a wearable navigation system (RGB-D VSLAM, APF navigation, haptic actuation) with EEG event logging. Trials showed fixed reference haptic cues outperformed rotational haptic ques on success, safety, and reaction time.