Robotics Engineer - Building Autonomous Systems from Concept to Deployment
Open-loop control demonstration of magnetically-driven capsule robot using UR10e robotic arm. This test validated the control system's precision in guiding a capsule magnet through a constrained PVC phantom before implementing closed-loop feedback integration.
This project focused on the development of a non-invasive device that utilises photoplethysmography (PPG) signals to estimate blood pressure. A custom-designed PCB was developed to capture PPG signals, which were then processed through a hybrid CNN-LSTM deep learning model to estimate systolic and diastolic blood pressure. The device offers continuous monitoring, aiming to improve access to cardiovascular health metrics with high signal fidelity.
This project involved the design and development of an autonomous rover capable of traversing varied terrains while avoiding obstacles. The rover utilised a custom-built LIDAR system, paired with an IMU sensor, for path planning and obstacle detection. Powered by worm-geared motors and a robust chassis design, the rover demonstrated effective performance in navigating indoor and outdoor environments, including difficult terrains and steep inclines. The project focused on systems integration, autonomous control, and sensor-driven navigation, showcasing advanced robotics and control techniques.
This project focused on designing a ball-screw-based drive system for an aerospace testing application. The system was required to move a test article over a predefined distance of 450mm within 8 seconds, under continuous motion. The drive system was optimised to handle a load of over 34 kg, while maintaining precise control and durability. Key components, including the AKM11B motor, deep groove ball bearings, and a flexible coupling, were carefully selected to meet the motion profile requirements and ensure the system’s reliability under high axial loads. This project demonstrated expertise in drive systems, motion control, and component selection.
This project involved the use of COMSOL Multiphysics software to model and simulate an electromagnetic actuator. The primary goal was to evaluate the force output of the actuator under varying conditions, including different materials and plunger designs. The study compared analytical models with finite element simulations to optimise the actuator's performance, focusing on factors like magnetic flux density, reluctance, and air gap variations. The results demonstrated how non-linear material properties and geometric changes, such as a conical plunger head, can significantly influence force distribution in electromagnetic systems.
This project involved simulating the behavior of a single-phase isolation transformer using COMSOL Multiphysics. The study analysed the impact of a solid versus laminated core on the transformer's efficiency and equivalent circuit parameters. The laminated core demonstrated reduced eddy current losses and improved magnetic flux density distribution. Computational cost was minimised by exploiting symmetry, reducing the magnetic field domain, and applying boundary conditions. The results provided insights into core saturation, eddy current mitigation, and how the transformer operates under various frequency conditions.
