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- Train Biped Robot to Walk Using Reinforcement Learning Agents
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
- MATLAB and Simulink for Robotics and Autonomous Systems - MathWorks
Use MATLAB and Simulink to design, simulate, and verify every aspect of autonomous systems, from perception to motion
- Get Started with Robotics System Toolbox - MathWorks
Robotics System Toolbox provides tools and algorithms for designing, simulating, testing, and deploying manipulator and mobile robot applications
- 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
- Control and Simulate Multiple Warehouse Robots
Collision Detection and Goal-Reached Threshold The Central Scheduler and the Robot Controller use certain thresholds for collision detection, collisionThresh, and a goal-reached condition, awayFromGoalThresh
- 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
- Model and Control a Manipulator Arm with Robotics and Simscape
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, whether the gripper should be open or closed, and the current trajectory being sent to the robot
- Trajectory Generation - MATLAB amp; Simulink - MathWorks
Polynomial Trajectory: Generate polynomial trajectories through waypoints: Rotation Trajectory
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