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Robotics and Autonomous Systems

Develop autonomous applications from perception to motion and optimize system-level behavior

Robotics and autonomous systems describe systems of platforms, such as automobiles, airplanes, robots, and UAVs, that move and operate in a physical environment for goal-oriented actions. With the tools and algorithms in multiple toolboxes, you can simulate, estimate, navigate, and control the platform states, such as its position and velocity, as well as monitor the physical environment. Specifically, you can:

Design, model, and simulate autonomous system scenarios that include platforms, trajectories, paths, sensors, and environment using various coordinate systems and maps.
Generate and classify detections, estimate platforms, and obtain various maps of the environment.
Plan the paths of robots, UAVs, and automobiles using different path planning algorithms based on varied motion characteristics.
Control robots, UAVs, and automobiles using multiple motion control algorithms and strategies.
Connect software design with robot operation systems (ROS) and deploy your designed estimation, navigation, and control algorithms on hardware.

Products for Robotics and Autonomous Systems

Automated Driving Toolbox

Design, simulate, and test ADAS and autonomous driving systems

Robotics System Toolbox

Design, simulate, test, and deploy robotics applications

UAV Toolbox

Design, simulate, and deploy UAV applications

Navigation Toolbox

Design, simulate, and deploy algorithms for autonomous navigation

ROS Toolbox

Design, simulate, and deploy ROS-based applications

Sensor Fusion and Tracking Toolbox

Design, simulate, and test multisensor tracking and positioning systems

RoadRunner

Design 3D scenes for automated driving simulation

RoadRunner Scenario

Create and play back scenarios for automated driving simulation

Topics

Scenario Design and Simulation

Create Simple RoadRunner Scene (RoadRunner)
Use RoadRunner scene editing software to create a simple road network.
Create Driving Scenario Interactively and Generate Synthetic Sensor Data (Automated Driving Toolbox)
Use the Driving Scenario Designer app to create a driving scenario and generate sensor detections and point cloud data from the scenario.
Simulate Simple Flight Scenario and Sensor in Unreal Engine Environment (UAV Toolbox)
Visualize sensors in a simulation environment that uses Unreal Engine® from Epic Games®.
Control and Simulate Multiple Warehouse Robots (Robotics System Toolbox)
Control and simulate multiple robots working in a warehouse facility or distribution center.

Detection and Classification

Detect, Classify, and Track Vehicles Using Lidar (Lidar Toolbox)
Detect, classify, and track vehicles by using lidar point cloud data captured by a lidar sensor mounted on an ego vehicle.
Lidar 3-D Object Detection Using PointPillars Deep Learning (Lidar Toolbox)
Train a PointPillars network for object detection in point clouds.

Localization and Mapping

Build a Map from Lidar Data (Automated Driving Toolbox)
Process 3-D lidar sensor data to progressively build a map, with assistance from inertial measurement unit (IMU) readings.
Build Map and Localize Using Segment Matching (Automated Driving Toolbox)
Build a map with lidar data and localize the position of a vehicle on the map using SegMatch, a place recognition algorithm based on segment matching.
Stereo Visual SLAM for UAV Navigation in 3D Simulation (UAV Toolbox)
Generate a map for a city block scene in an Unreal Engine environment using stereo visual simultaneous localization and mapping.

Situational Awareness and State Estimation

Extended Object Tracking of Highway Vehicles with Radar and Camera (Sensor Fusion and Tracking Toolbox)
Track highway vehicles around an ego vehicle as extended objects that span multiple sensor resolution cells.
Visual-Inertial Odometry Using Synthetic Data (Sensor Fusion and Tracking Toolbox)
Estimate the pose (position and orientation) of a ground vehicle using an inertial measurement unit (IMU) and a monocular camera.

Motion Planning

Object Tracking and Motion Planning Using Frenet Reference Path (Sensor Fusion and Tracking Toolbox)
Dynamically plan the motion of an autonomous vehicle based on estimates of the surrounding environment.
Motion Planning with RRT for Fixed-Wing UAV (UAV Toolbox)
Plan the motion of a fixed-wing unmanned aerial vehicle (UAV) using the rapidly exploring random tree (RRT) algorithm given a start and goal pose on a 3-D map.
Pick-and-Place Workflow in Gazebo Using Point-Cloud Processing and RRT Path Planning (Robotics System Toolbox)
Set up an end-to-end, pick-and-place workflow for a robotic manipulator like the KINOVA® Gen3.

Motion Control

Highway Lane Following with RoadRunner Scene (Automated Driving Toolbox)
Simulate a highway lane following application using a scene created in the RoadRunner 3D scene editing tool.
Path Following with Obstacle Avoidance in Simulink® (Navigation Toolbox)
Use Simulink to avoid obstacles while following a path for a differential drive robot.
Control and Simulate Multiple Warehouse Robots (Robotics System Toolbox)
Control and simulate multiple robots working in a warehouse facility or distribution center.

Hardware Deployment

Estimating Orientation Using Inertial Sensor Fusion and MPU-9250 (Sensor Fusion and Tracking Toolbox)
Obtain data from an InvenSense MPU-9250 IMU sensor, and to use the 6-axis and 9-axis fusion algorithms in the sensor data to compute orientation of the device.
Sign-following Robot with ROS in MATLAB (ROS Toolbox)
Control a simulated robot running on a separate ROS-based simulator over a ROS network using MATLAB^®.
Localize TurtleBot Using Monte Carlo Localization Algorithm (Navigation Toolbox)
Apply the Monte Carlo Localization algorithm on a TurtleBot® robot in a simulated Gazebo® environment.

Related Information

Featured Examples

Design and Simulate Warehouse Pick-and-Place Application Using Mobile Manipulator in Simulink and Gazebo

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

Lidar and Radar Fusion in Urban Air Mobility Scenario

Use multiobject trackers to track various unmanned aerial vehicles in an urban environment.

UAV Package Delivery

Implement a small multicopter simulation to takeoff, fly, and land in a city environment.

Visualize Automated Parking Valet Using Unreal Engine Simulation

Visualize vehicle motion in Unreal Engine^® using a parking valet system constructed in Simulink^®.

Processor-in-the-Loop Verification of JPDA Tracker for Automotive Applications

Generate embedded code for a JPDA tracker and verify it using processor-in-the-loop (PIL) simulations.