NUS's CEG4002 Capstone project - The module is the culminating point for all NUS students to incorporate knowledge acquired from previous technical modules to build a large scale IoT project. The project employs various skills from Software, Firmware, Hardware developments that help strengthen collaborative and technical abilities. My main responsibilities: build an Neural Networks accelerator on an FPGA using High Level Synthesis (HLS) to offload computation from the main microcontroller for movement classifications.

I facilitated the creation of a UART reader reading data sent from an FPGA board to read proximity data from the sensors. Assisted on performing demonstration with proportional control Demo

Teleoperation control from Senseglove towards Robotiq gripper. Video