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Course Outline

Introduction to Physical AI and Robotics

  • Overview of Physical AI and its developmental trajectory
  • Applications in industrial automation and other sectors
  • Essential components of intelligent robotic systems

Robotics System Design

  • Mechanical design principles for robotic structures
  • Integration of sensors and actuators
  • Power systems and strategies for energy efficiency

AI Models for Robotics

  • Leveraging machine learning for perception and decision-making
  • Application of reinforcement learning in robotics
  • Constructing AI pipelines for robotic systems

Real-Time Sensor Integration

  • Techniques for sensor fusion
  • Processing data from LiDAR, cameras, and additional sensors
  • Real-time navigation and obstacle avoidance mechanisms

Simulation and Testing

  • Utilization of simulation tools such as Gazebo and MATLAB Robotics Toolbox
  • Modeling complex dynamic environments
  • Performance evaluation and system optimization

Automation and Deployment

  • Programming robots for industrial automation tasks
  • Developing efficient workflows for repetitive operations
  • Ensuring safety and reliability in deployment scenarios

Advanced Topics and Future Trends

  • Collaborative robots (cobots) and human-robot interaction
  • Ethical and regulatory frameworks in robotics
  • The future trajectory of Physical AI in automation

Requirements

  • Foundational understanding of robotics and automation systems
  • Strong programming proficiency, with a preferred focus on Python
  • Basic familiarity with core AI concepts

Target Audience

  • Robotics engineers
  • Automation specialists
  • AI developers
 21 Hours

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

Testimonials (2)

Supply of the materials (virtual machine) to get straight into the excersises, and the explanation of the Ros2 core. Why things work a certain way.

Arjan Bakema
Course - Autonomous Navigation & SLAM with ROS 2

its knowledge and utilization of AI for Robotics in the Future.

Ryle - PHILIPPINE MILITARY ACADEMY
Course - Artificial Intelligence (AI) for Robotics

Upcoming Courses

Physical AI for Robotics and Automation

2026-10-22 09:30
21 hours
Pretoria - Brooklyn Bridge

Physical AI for Robotics and Automation

2026-11-05 09:30
21 hours
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront

Physical AI for Robotics and Automation

2026-11-19 09:30
21 hours
Johannesburg - City Lodge Waterfall City

Physical AI for Robotics and Automation

2026-12-03 09:30
21 hours
Garden Court South Beach

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