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Course Outline
Foundations of Physical AI and Robotics
- Evolutionary overview of Physical AI concepts
- Scope of applications in industrial automation and emerging fields
- Essential components that constitute intelligent robotic systems
Architecting Robotic Systems
- Mechanical design strategies for robotic platforms
- Seamless integration of sensing and actuation mechanisms
- Power system architecture and strategies for energy efficiency
AI Models for Robotic Intelligence
- Leveraging machine learning for environmental perception and decision logic
- Application of reinforcement learning within robotic contexts
- Constructing robust AI pipelines for robotic operations
Advanced Sensor Integration
- Techniques for effective sensor fusion
- Handling data streams from LiDAR, optical cameras, and peripheral sensors
- Implementing real-time navigation and precise obstacle avoidance
Simulation and Validation
- Utilizing simulation environments such as Gazebo and the MATLAB Robotics Toolbox
- Creating models for dynamic and complex operational environments
- Conducting performance assessments and iterative optimization
Automation and Operational Deployment
- Programming protocols for industrial automation tasks
- Designing efficient workflows for repetitive processes
- Safeguarding safety standards and operational reliability during deployment
Emerging Trends and Advanced Concepts
- The role of collaborative robots (cobots) and enhancing human-robot interaction
- Navigating ethical frameworks and regulatory landscapes in robotics
- Forecasting the future trajectory of Physical AI in automation
Requirements
- Fundamental understanding of robotics and automation systems
- Proficiency in programming languages, with a preference for Python
- Working knowledge of artificial intelligence fundamentals
Target Audience
- Robotics engineers
- Automation specialists
- AI developers
21 Hours
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.
