we have used klann linkage in our bot, Raspberry pi and Arduino. it basically solve survillance problems where tyres and belts leave impression on ground terrain, it walks on tips that provide it a greater advantage to leave minimal impression or tip prints on the ground when it will go for survillance purpose. Also, it consists of 6 degree of freedom robotic arm that will help it to pick or place objects or it can also carry a small weapon with itself. It is powered with Arduino and Raspberry pi that will help to send realtime data whenever and whereever required, using a pi cam.
Here is the video links:
https://drive.google.com/file/d/1COx5ioOzL7UvCq8JYM759X3n0cSLyGEB/view?usp=sharing
https://drive.google.com/file/d/1G5kmadEN33vwPzKTb2bOwhRPtG30m5d7/view?usp=sharing
Hardware challenges: we were short of hardware items like klann mechanism links, robotic arm, proper chassis, so we made this prototype using wheels and basic chassis but still we designed this bot with robotic arm in solidworks and we have completed its testing with running code.
teammates were not present at one place, so it was very difficult to coordinate and work in team.
Running object recognition on raspberry pi was full of challenges, but still we overcame all the odds and wrote efficient codes and ran successful simulation of object recognition with raspberry pi and also with arduino.
the final challenge we faced interfacing arduino with raspberry pi and designing algorithms,
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