Robotics Manipulator

Implementation of kinematics, dynamics, trajectory planning, and control systems for robotic manipulators using Python and NumPy.

RoboticsControl Systems

# features

Key Features

Core technologies and system features.

Kinematics & Transformations

Implementation of spatial descriptions, forward kinematics, and differential kinematics (Jacobians).

Manipulator Dynamics

Analyzing system behavior with rigid-body dynamics and modeling complex multi-degree-of-freedom robotic arms.

Advanced Control Systems

Designing joint space PD controllers, inverse dynamics for task space, and hybrid force/motion controllers.

Computational Robotics

Utilizing the Python scientific stack, including NumPy for matrix operations and Matplotlib for visualizing trajectories.

# source

Project Source Code

Explore the primary logical modules.

EXPLORER

Week 1: Foundations of Linear Algebra

srcWeek 1: Foundations of Linear Algebra

1# Do not modify these values. The original values in the file will be used for marking.
2A2 = np.array([[2, 1],
3               [1, 2]])
4B2 = np.array([[4, 3],
5               [3, 4]])
6
7
8# Add your answers below. Replace the `None`'s.
9f_B_1 = A2.T
10f_B_2 = -B2
11r_B = f_B_1 + f_B_2

# simulation

Live Simulation Output

Simulated console execution.

Outputs

Installation & Setup

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# repositories

Source Code

GitHub repositories for this project.

Robotics Manipulator Repository

Access the complete source code on GitHub.