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Course Outline

Introduction to Physical AI and Robotics

  • An overview of Physical AI and its technological evolution
  • Applications ranging from industrial automation to broader sectors
  • Identifying the key components that define intelligent robotic systems

Robotics System Design

  • Foundational mechanical design principles for robotic structures
  • Effective integration of sensors and actuators
  • Managing power systems to ensure energy efficiency

AI Models for Robotics

  • Applying machine learning techniques for perception and decision logic
  • Utilizing reinforcement learning frameworks in robotics
  • Constructing robust AI pipelines dedicated to robotic systems

Real-Time Sensor Integration

  • Advanced sensor fusion methodologies
  • Processing data streams from LiDAR, cameras, and auxiliary sensors
  • Implementing real-time navigation and obstacle avoidance strategies

Simulation and Testing

  • Leveraging simulation environments like Gazebo and the MATLAB Robotics Toolbox
  • Modeling complex and dynamic operational environments
  • Evaluating performance metrics and driving optimization

Automation and Deployment

  • Programming robots for high-volume industrial automation
  • Engineering efficient workflows for repetitive tasks
  • Safeguarding safety and reliability during live deployments

Advanced Topics and Future Trends

  • Exploring collaborative robots (cobots) and human-robot interaction
  • Navigating ethical and regulatory landscapes in robotics
  • Anticipating the future trajectory of Physical AI in automation

Requirements

  • Fundamental understanding of robotics and automation systems
  • Strong programming proficiency, with a preference for Python
  • A solid grasp of AI fundamentals

Target Audience

  • Robotics engineers
  • Automation specialists
  • AI developers
 21 Hours

Need help picking the right course?
uae@nobleprog.com or +971 4871 6715

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

2026-10-30 09:30
21 hours
Business Bay

Physical AI for Robotics and Automation

2026-11-13 09:30
21 hours
Bay Square - Business Bay

Physical AI for Robotics and Automation

2026-11-27 09:30
21 hours
Unbox

Physical AI for Robotics and Automation

2026-12-11 09:30
21 hours
Clock Tower - Port Saeed

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