This example shows how to train a biped robot to walk using either a deep deterministic policy gradient (DDPG) agent or a twin-delayed deep deterministic policy gradient (TD3) agent.

Robotics System Toolbox provides a library of robotics algorithms and tools to design, simulate, and test robotics application. It includes commercially available industrial robot models to …

Use MATLAB and Simulink to design, simulate, and verify every aspect of autonomous systems, from perception to motion.

Kinematics is the study of motion without considering the cause of the motion, such as forces and torques. Inverse kinematics is the use of kinematic equations to determine the motion of a …

SLAM (Simultaneous Localization and Mapping) is a technology used with autonomous vehicles that enables localization and environment mapping to be carried out simultaneously. SLAM …

Robotics System Toolbox provides tools and algorithms for designing, simulating, testing, and deploying manipulator and mobile robot applications.

Inverse kinematics (IK) determine joint configurations of a robot model to achieve a desired end-effect position.

Polynomial Trajectory: Generate polynomial trajectories through waypoints: Rotation Trajectory

The task scheduling and trajectory generation portion defines how the robot traverses through the states. This includes the robot configuration state at any instant, what the goal position is, …

ROS Toolbox connects MATLAB and Simulink with ROS network for designing ROS-based applications. The toolbox enables you to test and verify ROS nodes and deploy them to …