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AUTinyDane is an open-source, 3D-printed quadruped robotic dog running entirely on a Raspberry Pi. It features a pure Python software stack utilizing open-loop gait generation and analytical inverse kinematics. The project was done at Aarhus University Department of Mechanical Engineering
Quadruped robot stabilization using fuzzy control based on IMU sensor readings, implementing gait planning and inverse kinematics for balanced movement.
A PyTorch implementation of the TD3 (Twin Delayed Deep Deterministic Policy Gradient) algorithm applied to quadruped robot locomotion control. Trained on two environments of increasing complexity: the MuJoCo Ant (8 degrees of freedom) and ANYbotics' ANYmal (12 degrees of freedom) in the Gym Jiminy physics simulation.