Foundations of Robotics Simulation in Python
Understand the critical bridge between theoretical models and physical hardware through a rigorous, math-first approach to robotics simulation.
This course includes.
Curriculum & lectures.
+ Welcome! 1 lecture
+ 01 Mathematical and Computational Foundations 2 lectures
+ 02 Robot Modeling and Kinematics 3 lectures
+ 03 Physics Engines and Simulation Environments 3 lectures
+ 04 Planning, Control, and Learning 3 lectures
About this course.
This course uses the Python scientific ecosystem to teach you how to build, debug, and validate autonomous systems within virtual laboratories.
► Mathematical Foundations: Derive kinematic and dynamic models using DH convention and the Product of Exponentials framework.
► Physics Engine Mastery: Configure and benchmark high-performance engines including PyBullet, MuJoCo, and Gazebo.
► ROS 2 & Middleware: Build software architectures connecting simulated environments via topics, services, and actions.
► Sensor & Perception Modeling: Design realistic sensor models for LiDAR and RGB-D cameras with principled noise integration.
✔️ Lifetime access to all modules
✔️ First-time exclusive Humble Bundle launch
Engineering professionals and dedicated students looking to bridge the gap between code and physical motion will find this curriculum essential. You will gain the analytical depth required to solve real world robotics challenges and build a career at the intersection of intelligence and mechanics.
Understand the virtual laboratory of robotics today.
Ready to start building?
Understand the critical bridge between theoretical models and physical hardware through a rigorous, math-first approach to robotics simulation.