What it does
Our device uses a DNN to identify berries and roll up to them, gently clawing them up autonomously.
How we built it
Assembled given Claw kit. Built off of Raspberry pi libraries to control motors and gather data from sensors.
Challenges we ran into
Hardware issues with robot. Sensors malfunctioning. Code integration. System errors. Mechanical issues.
Accomplishments that we're proud of
The claw lifting objects properly. General robot autonomy and function. Sensing data and object detection inference of object working accurately.
What we learned
How to navigate challenges in software and hardware. How to work with the raspberry pi interface and using its libraries. Dealing with sensors and electronics was new to some of us. Machine and System issues were common bugs we had to fix.
What's next for Cherry Picker!
We plan to improve our software's integration to make it faster and less straining on the system. Through some more fine tuning we'll work to make our selection and sorting much more rigorous and accurate. Our mechanical structure will also be improved through better materials and a more solid assembly.
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