2024-Q4-AI 3. Inverse kinematics (Numpy, calculus, partial derivatives)

Whiteboard:
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Calculus:
• 3Blue1Brown: Calculus
3.2. Forward Kinematics Task
Using the provided template, implement a 2-segment robot arm with defined theta_1 and theta_2 angles using a 2D rotation matrix. Use 2D vectors instead of 3D vectors. Perform translation by vector addition.
2D rotation matrix:
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The result should be as follows:
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Template:
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3.4 Implement MSE/L2 Loss Calculation
Implement the calculation of the MSE/L2 loss between the robot's end-effector position and the target position and display it using plt.title(f'loss = {loss}')
Error calculation:
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3.5. Implement the derivative for MSE/L2 error calculation
Implement the derivative for MSE/L2 error calculation
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3.6. Implement Robot Arm Inverse Kinematics using SGD
Implement an arm with 2 segments using the previous tasks, so that both angles change in a direction that reduces the error value.
Submit the source code and a screenshot
3.7. Implement a robot arm with 3 segments
Preparation of tasks from previous assignments
1. Implement inverse kinematics using MSE for 3 segments
2. Prevent the arm from passing over itself or going below the 0 level (this can be achieved by adding additional errors and additional dTheta from different points on the arm's middle parts, maximization can also be done. The solution does not need to work in 100% of cases, but it should be implemented without IF statements).
The result should look like this:
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[@Bulbasauros]

Hi, I'm a student studying Computer Science at a different uni. I started doing electronics as a hobby and now I am watching your lecture recordings to implement inverse kinematics on my robot arm. Would you mind sharing your python scripts so I could also work on them. Nice lectures! I can see that you know what you are talking about.

[@evaldsurtans]

Thank you for comment, added templates to all video descriptions, will keep adding them, encourage you to join live sessions