Model different robot kinematics models in an environment and compare them.

Control and simulate multiple robots working in a warehouse facility or distribution center.

An extension to the Simulate A Mobile Robot in a Warehouse using Gazebo example. The example shows to change the PRM path planner with an A* planner, and add a vector field histogram (VFH) algorithm to avoid obstacles.

Execute a pick-and-place workflow using an ABB YuMi robot, which demonstrates how to design robot algorithms in Simulink®, and then simulate the action in a test environment using Simscape™. The example also shows how to model a system with different levels of fidelity to focus better on the associated algorithm design.

Setup an end-to-end pick and place workflow for a robotic manipulator like the KINOVA® Gen3 and simulate the robot in the Gazebo physics simulator.

Simulate control of a robotic manipulator using co-simulation between Simulink and Gazebo. The example uses Simulink™ to model the robot behavior, generate control commands, send these commands to Gazebo, and control the pace of the Gazebo simulation.

Set up an end-to-end, pick-and-place workflow for a mobile manipulator using Simulink® and Gazebo®.

Create a scenario to simulate a mobile robot navigating a room. The example demonstrates how to create a scenario, model a robot platform from a rigid body tree object, obtain a binary occupancy grid map from the scenario, and plan a path for the mobile robot to follow using the mobileRobotPRM path planning algorithm.

Create a scenario to simulate two mobile robots performing obstacle avoidance in a warehouse. This example demonstrates how to create a warehouse scenario, add mobile robots using the rigid body tree representation, model the kinematics of the robots, and simulate the behavior of the control algorithms using the resultant scenario.

Set up an end-to-end pick-and-place workflow for a robotic manipulator like the KINOVA® Gen3, and simulate the robot in the Unity® game engine.

Use Simulink® to enable synchronized simulation between ROS and the Gazebo robot simulator using the Gazebo Pacer block.

Focuses on creating and mounting an ultrasonic sensor on a mobile robot in a robotScenario. The ultrasonicDetectionGenerator from the Automated Driving Toolbox cannot be used directly with robotScenario. We will be implementing a custom sensor adaptor for the ultrasonicDetectionGenerator that makes it compatible with robotScenario. The sensor will be used to position a mobile robot correctly at a charging station.

Simulation of an automated assembly to demonstrate virtual commissioning applications. The assembly line is based on a modular industrial framework created by ITQ GmbH known as Smart4i. This system consists of four components: two robotic workcells that are connected by a shuttle track and a conveyor belt. One of the two robots places cups onto the shuttle, while the other robot places balls in the cups. The conveyor then delivers those cups to a container. This simulation uses Stateflow® to control the system control and demonstrates how you can use Unreal Engine™ to simulate a complete virtual commissioning application in Simulink®.

In this example, you create a scenario to simulate a manipulator performing pick-and-place operations with obstacle avoidance in a collision-object-based environment. This example demonstrates how to create a scene with collision-object-based static meshes, add a manipulator using the rigid body tree representation, plan manipulator motion with manipulatorRRT, and simulate the pick-and-place workflow in the scenario.