Events Calendar

Developing Autonomous UAV Applications with MATLAB and Simulink

Learn how MATLAB and Simulink can be used with UAV Toolbox for workflows to design and simulate autonomous UAV applications, including:

  • Approximating UAV dynamics for fast design iterations on the autonomous algorithms
  • Constructing UAV scenarios and simulating in cuboid environments
  • Using Unreal Engine co-simulation with sensor models for closed-loop 3D simulations
  • Automatic code generation for deployment to PX4 autopilot hardware and onboard computes
  • Analyzing post-flight telemetry data with the interactive Flight Log Analyzer app

Highlights

  • UAV Simulation Models: Approximate UAV behaviors for fixed-wing and multirotor platforms
  • Planning and Controls: Motion planning with waypoint follower, trajectory-following, and path planning algorithms
  • Creating UAV Scenarios: Simulation scenarios including environmental obstacles (e.g. buildings), UAV platforms, and sensors
  • Cuboid Simulation: Generate sensor data and test controllers, tracking algorithms, and sensor fusion algorithms in simplified 3D environment
  • Unreal Engine Co-Simulation: Simulate UAV applications in a realistic 3D simulator with sensor models
  • Deployment to Autopilots and Onboard Computes: Automatically generate code to implement onto autopilot and onboard compute hardware, such as PX4 autopilots and NVIDIA Jetson
  • Connect with MAVLink Protocol: Communicate with UAV hardware with MAVLink communication protocol support
  • Flight Log Analyzer App: Interactively load and analyze UAV autopilot flight log data
  • Visualize Custom Flight Logs: Define customized signals and plots to visualize data

About the Presenter:
Ronal George, application engineer for robotics and autonomous systems. Ronal has a Master's degree in Electrical Engineering from North Carolina State University. As a part of his Master's, Ronal worked with the Advanced Diagnosis, Automation and Control (ADAC) Laboratory to develop planning and localization algorithms for multi agent systems. Prior to joining MathWorks in April 2019, Ronal worked as an Inside Sales Engineer at SPX Transformer Solutions and as an Electrical Design Engineer at WindLabs.

Wednesday, April 28 at 2:00 p.m. to 3:30 p.m.

Virtual Event

Developing Autonomous UAV Applications with MATLAB and Simulink

Learn how MATLAB and Simulink can be used with UAV Toolbox for workflows to design and simulate autonomous UAV applications, including:

  • Approximating UAV dynamics for fast design iterations on the autonomous algorithms
  • Constructing UAV scenarios and simulating in cuboid environments
  • Using Unreal Engine co-simulation with sensor models for closed-loop 3D simulations
  • Automatic code generation for deployment to PX4 autopilot hardware and onboard computes
  • Analyzing post-flight telemetry data with the interactive Flight Log Analyzer app

Highlights

  • UAV Simulation Models: Approximate UAV behaviors for fixed-wing and multirotor platforms
  • Planning and Controls: Motion planning with waypoint follower, trajectory-following, and path planning algorithms
  • Creating UAV Scenarios: Simulation scenarios including environmental obstacles (e.g. buildings), UAV platforms, and sensors
  • Cuboid Simulation: Generate sensor data and test controllers, tracking algorithms, and sensor fusion algorithms in simplified 3D environment
  • Unreal Engine Co-Simulation: Simulate UAV applications in a realistic 3D simulator with sensor models
  • Deployment to Autopilots and Onboard Computes: Automatically generate code to implement onto autopilot and onboard compute hardware, such as PX4 autopilots and NVIDIA Jetson
  • Connect with MAVLink Protocol: Communicate with UAV hardware with MAVLink communication protocol support
  • Flight Log Analyzer App: Interactively load and analyze UAV autopilot flight log data
  • Visualize Custom Flight Logs: Define customized signals and plots to visualize data

About the Presenter:
Ronal George, application engineer for robotics and autonomous systems. Ronal has a Master's degree in Electrical Engineering from North Carolina State University. As a part of his Master's, Ronal worked with the Advanced Diagnosis, Automation and Control (ADAC) Laboratory to develop planning and localization algorithms for multi agent systems. Prior to joining MathWorks in April 2019, Ronal worked as an Inside Sales Engineer at SPX Transformer Solutions and as an Electrical Design Engineer at WindLabs.

Wednesday, April 28 at 2:00 p.m. to 3:30 p.m.

Virtual Event

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