Arduino and Robotics Expert needed
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Post a project like this$280
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- Proposals: 3
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Description
Experience Level: Intermediate
Estimated project duration: less than 1 week
I need someone experienced in robotics and arduino .This is for making a bot for wro-fe. The candidate have to help us coding an automated Vehicle.
Game Description:
Round 1 (without obstacles):
In Round 1, there won't be any obstacles, but the car will start from a specific location and come to a stop at the same location. You will see that in the middle of the mat, there are 6 house-shaped structures. The bot will randomly start from one of those houses and come to a stop at the same house.
During each turn, you will notice orange and blue lines on the mat. These lines are there to assist in taking turns. The car can move either clockwise or anticlockwise. If it moves clockwise, the orange line will always appear first, indicating the direction to turn (left or right). For example, if the car detects the orange line, it should understand that it needs to take a right turn, while if it detects the blue line, it should take a left turn.
There will be a black border in the middle, resembling a road divider. This border will change its location during the run. So, you may see that the path becomes narrower or wider. In this way, a total of 3 laps will be completed, always starting and ending at the same location.
Round 2:
In Round 2, there will be blocks placed within the boxes you see on the mat. Each line can have a maximum of 2 blocks. If there is a red block, the car should take a right turn, and if there is a green block, it should take a left turn. After completing 3 laps while navigating these blocks, the car should come to a stop.
To keep track of the number of laps, we will use the MPU sensor, and for block detection, we will utilize the HuskyLens.
HuskyLens Documentation: [https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336](https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336)
JRC Board Documentation: [https://github.com/jrcboard?fbclid=IwAR0_rzGTXT1YDyFjvSLMqnUbYBl78kD_bMj7qrSQTDBLm2WFJjMeULx24C4](https://github.com/jrcboard?fbclid=IwAR0_rzGTXT1YDyFjvSLMqnUbYBl78kD_bMj7qrSQTDBLm2WFJjMeULx24C4)
Game Description:
Round 1 (without obstacles):
In Round 1, there won't be any obstacles, but the car will start from a specific location and come to a stop at the same location. You will see that in the middle of the mat, there are 6 house-shaped structures. The bot will randomly start from one of those houses and come to a stop at the same house.
During each turn, you will notice orange and blue lines on the mat. These lines are there to assist in taking turns. The car can move either clockwise or anticlockwise. If it moves clockwise, the orange line will always appear first, indicating the direction to turn (left or right). For example, if the car detects the orange line, it should understand that it needs to take a right turn, while if it detects the blue line, it should take a left turn.
There will be a black border in the middle, resembling a road divider. This border will change its location during the run. So, you may see that the path becomes narrower or wider. In this way, a total of 3 laps will be completed, always starting and ending at the same location.
Round 2:
In Round 2, there will be blocks placed within the boxes you see on the mat. Each line can have a maximum of 2 blocks. If there is a red block, the car should take a right turn, and if there is a green block, it should take a left turn. After completing 3 laps while navigating these blocks, the car should come to a stop.
To keep track of the number of laps, we will use the MPU sensor, and for block detection, we will utilize the HuskyLens.
HuskyLens Documentation: [https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336](https://wiki.dfrobot.com/HUSKYLENS_V1.0_SKU_SEN0305_SEN0336)
JRC Board Documentation: [https://github.com/jrcboard?fbclid=IwAR0_rzGTXT1YDyFjvSLMqnUbYBl78kD_bMj7qrSQTDBLm2WFJjMeULx24C4](https://github.com/jrcboard?fbclid=IwAR0_rzGTXT1YDyFjvSLMqnUbYBl78kD_bMj7qrSQTDBLm2WFJjMeULx24C4)
Shahana P.
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Last project
16 May 2024
Bangladesh
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