Python Robot Modeling & Kinematics
Master the mathematical foundations and computational tools required to model and control robotic systems. This comprehensive course provides a rigorous, Python-driven exploration of robot kinematics, taking you from 3D vector transformations to real-world simulation.
This course includes.
Curriculum & lectures.
+ Course Modules 8 lectures
About this course.
You will gain hands-on experience with industry-standard libraries like NumPy, SciPy, and the Robotics Toolbox for Python to analyze workspace reachability and solve complex motion problems.
The Kinematics Mastery Path:
► Rigid Body Transformations: Represent orientation and position using rotation matrices, quaternions, and homogeneous coordinates (SE(3)) while avoiding common pitfalls like gimbal lock.
► Robot Description & Modeling: Build serial chain robots using Denavit-Hartenberg (DH) parameters and parse industry-standard URDF formats for complex manipulators like the Panda or UR5.
► Forward & Inverse Kinematics: Map joint angles to Cartesian task space and implement both analytical and numerical solvers to recover joint configurations from target poses.
► Velocity Kinematics & the Jacobian: Derive the manipulator Jacobian to map velocities and identify critical singularities that limit robot motion.
► Trajectory Planning: Design smooth motion using cubic/quintic polynomials and trapezoidal velocity profiles for both joint-space and Cartesian-space paths.
► Physics Simulation: Load models into PyBullet to execute pick-and-place tasks, implement PD controllers, and detect geometric collisions in a real-time 3D environment.
✔️ Lifetime access to all modules
✔️ First-time exclusive Humble Bundle launch
Designed for engineers and researchers with Python and math foundations, this course bridges the gap between theoretical robotics and professional software implementation. You will graduate with a robust portfolio, including a full kinematics solver ready for deployment in research or automation.
Master the mathematics of motion today.
Ready to start building?
Master the mathematical foundations and computational tools required to model and control robotic systems. This comprehensive course provides a rigorous, Python-driven exploration of robot kinematics, taking you from 3D vector transformations to real-world simulation.