This week I worked together with my teammates on selecting key hardware components for our system. In particular, I helped evaluate different motor chassis options and AI voice modules to ensure they meet our load capacity, control compatibility, and integration requirements. After comparing several platforms, we aligned on a chassis that supports encoder feedback and is compatible with both Raspberry Pi and STM32 control, which gives us flexibility in our system architecture.
In addition, I focused on figuring out how our different components should connect to the Raspberry Pi. I mapped out the communication interfaces and corresponding ports for each module, including the OAK-D Pro camera, ToF sensors, AI voice module, and motor control interface. Beyond hardware integration, I also worked on refining our presentation materials. Specifically, I contributed to the use case section, quantitative design requirements, system specifications, and implementation plan.
Overall, our progress remains aligned with the planned schedule, and we have not encountered any major blockers. The next phase will focus on beginning early-stage integration once components arrive.