An open-source, affordable, and customizable 4-legged robotic dog. Originally developed as a 5th-semester project at the Department of Mechanical and Production Engineering at Aarhus University, this project covers the full development process from conceptual design to a finalized, functional quadruped. Click the image below to see the robot walking:
AUTinyDane is designed to be highly accessible, operating on a unified, single-board architecture that handles all high-level planning and low-level execution in an open-loop configuration.

The robot operates entirely on a single-controller setup:
The pure Python software stack manages everything from user inputs to gait generation and hardware interfacing:
Kinematics.py). Optimal leg dimensions were mapped using an analytical solution.GaitPlannerV2.py, StancePlannerV2.py, SwingPlannerV2.py).HardwareInterface.py).AUTinyDane/
├── src/ # Core robot operational code
│ ├── Kinematics.py # Inverse kinematics calculations
│ ├── HardwareInterface.py# Serial/I2C communication to Servos
│ ├── Configuration.py # Physical dimensions and robot parameters
│ └── PS4Controller/ # DualShock 4 input mapping
├── legacy/ # Original planning modules
│ ├── GaitPlanner.py # Locomotion state machine and timing
│ ├── StancePlanner.py # Stance phase calculations
│ ├── SwingPlanner.py # Foot swing trajectory generation
│ └── gait_simulator.py # Visualizer for gaits before physical deployment
├── tools/ # Utility and calibration scripts
│ ├── calibrate_servos.py # Servo offset and range tuning
│ └── ServoNeutral.py # Script to hold servos at neutral position
├── tests/ # Module testing
│ └── Test_kinematics.py # Validation for IK models
├── run_robot.py # Main execution script
└── requirements.txt # Python package dependencies
git clone [https://github.com/jenslajordmunk/autinydane.git](https://github.com/jenslajordmunk/autinydane.git)
cd autinydane
pip install -r requirements.txt
Remember to calibrate for the current assembly of the robot in ServoCalibration.py, then: Power on the Raspberry Pi system, connect the PS4 controller via Bluetooth, and execute the main loop:
python run_robot.py
This project is licensed under the terms of the MIT License. See the LICENSE file for details.