Peizhi & Echo:
We are ahead of our schedule. we originally scheduled to move on to hardware portion starting next week, yet we already made significant progress on this part during this week.
This week:
- finished optimizing TensorflowLite on raspberry pi and successfully reached 10 fps
- made raspberry pi control the movement of the robot base. Now it can perform simple instructions such as move in any direction and play song
- robot base was able to move according to the person that is detected through pi camera and CV algorithm on pi. Algorithm needs to be optimized next week
Next week:
- program the robot to perform “run-away-from-person-action” correctly while keeping our frame rate still at a minimum of 10 fps.
- program the robot to move in a way to avoid all obstacles
- try figuring out the hardware part, that is, how to physically mount raspberry pi, robot base, usb acceleration and all other parts together as one piece of product