Collection of Python implementations of Robotics and Computer Vision theories taught in
- University of Pennsylvania Robotics Specialization
- University of Cambridge Computer Vision
- University of Cambridge Robotics
- University of Cambridge Reinforcement Learning and Decision Making
- Robot Ignite Academy [link]
Aims of this repo are to rewrite all MATLAB demos from the online courses into Python to develop a deeper understanding about those Robotics and Computer Vision concepts, and provide more readable scripts for beginners to begin their learning about Robotics. [**Mobility course is coming soon!]
- Python 3.7.4 + numpy 1.16.5 + scipy 1.3.1 + matplotlib 3.1.1 + yaml 5.1.2 + open-cv 3.4.2 + glob 0.7 + tqdm 4.36.1 + sympy 1.4 + slycot 0.3.5.0 + pydobot
- Quadcopter 1D + Quadcopter 2D
- Dijkstra Algorithm + A-star Algorithm + Configuration Space + Potential Field Path
- 2D Homography + 3D Homography + Optical Track + Point Cloud + Calibration
- Kalman Filter + Occupancy Grid Map + Particle Localization
- Proportional-Derivative Control + Proportional-Derivative Track Arm + Solve Ordinary Differential Equation + Estimated Kalman Filter
- Mobile Inverted Pendulum + Linear–quadratic regulator Mobile Inverted Pendulum + Proportional–Integral–Derivative controller Mobile Inverted Pendulum
- Value Iteration + Policy Iteration + State–Action–Reward–State–Action + Q-Learning
- Suceptible-Infectious-Removed
