MATLAB AI Capabilities for Robotics

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Free | online | Arpad Forberger

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A new generation of AI-powered robots continues to expand in use for manufacturing facilities, power plants, warehouses, and other industrial sites. Built on years of breakthroughs in deep learning and reinforcement learning, AI-powered robots have learned to handle various objects with minimum help from humans. MATLAB and Simulink are utilized as an intuitive learning environment for deep learning and control algorithms with a 3D virtual simulation environment to develop a new generation of AI-powered robots.

In this webinar, we will talk about robot modeling and simulation, ROS Connectivity and deployment, and to bring theory to practice, we will show you how to develop an AI-based autonomous mobile robot.

During this webinar, you will learn about:

  • MATLAB and Simulink capabilities for robotics and autonomous systems
  • Autonomous Ground Robot Algorithms
  • LIDAR-Based SLAM
  • Robot Operating System Toolbox
  • How to implement an AI-based autonomous system combining deep learning-based object detection and classic control algorithms


  • Autonomous System Applications
  • Developing Autonomous Ground Robots
  • Autonomous Ground Robot Algorithms
  • LIDAR-Based SLAM
  • SLAM Map Builder App
  • 3D SLAM and Egocentric Mapping
  • Autonomous Robotics Applications:
    • Robotic Manipulators
    • Unmanned Aerial Vehicles (UAVs)
  • Demo: Line Following Robot with Deep Learning

Join this webinar to:

  • gain a clear understanding of how MATLAB and Simulink can help you in your autonomous robotics application development projects.
  • increase the use of automation and improve efficiency through the latest product capabilities of object detection for warehouse mobile robots and pick-and-place robots.
  • reduce your robotics development time through the automatic CUDA code generation from the model, eliminating topical errors, and the use of simulation.
  • reduce your UAVs’ development time through terrain classification, semantic segmentation, and the use of simulation.

Recommended for:

  • Process Engineers
  • Automation Specialists
  • We recommend this webinar to everyone interested in achieving the highest possible degree of process automation.
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MATLAB AI Capabilities for Robotics

About the Speaker(s)

  • Arpad Forberger

    Application Engineer

    Arpad is an application engineer at SciEngineer. His research and consulting work focus on technical computing and finite element modeling.

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This webinar is prerecorded. Register for an access link!
Free | online | Arpad Forberger

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