Train Biped Robot to Walk Using Reinforcement Learning Agents The output previousRngState is a structure that contains information about the previous state of the stream You will restore the state at the end of the example Biped Robot Model The reinforcement learning environment for this example is a biped robot The training goal is to make the robot walk in a straight line using minimal control effort
Robotics System Toolbox - MATLAB - MathWorks 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 model your robot applications and reference examples of common industrial robot applications
Robot Simulation - MATLAB Simulink - MathWorks Cuboid simulation, co-simulation, example templatesAuthor robot scenarios and incorporate sensor models to test autonomous robot algorithms in simulated environments Validate your robot models in virtual simulation environments by co-simulating with Gazebo, Unreal Engine ®, and Simulink® 3D Animation™
What Is Inverse Kinematics? - MATLAB Simulink - MathWorks Learn how to program inverse kinematics equations for a robot arm using MATLAB and Simulink Resources include videos, examples, and documentation covering inverse kinematics and other topics
What Is SLAM (Simultaneous Localization and Mapping)? SLAM (Simultaneous Localization and Mapping) is a technology used with autonomous vehicles that enables localization and environment mapping to be carried out simultaneously SLAM algorithms allow moving vehicles to map out unknown environments