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Duration 21 hours
Course Outline
Introduction to Physical AI and Robotics
- Exploring the landscape of Physical AI and its historical evolution
- Applications across industrial automation and other sectors
- Identifying the essential components of intelligent robotic systems
Robotics System Design
- Core mechanical design principles for robotic structures
- Effective integration of sensors and actuators
- Power architecture and strategies for energy efficiency
AI Models for Robotics
- Leveraging machine learning for enhanced perception and decision processes
- Applying reinforcement learning techniques in robotics
- Constructing robust AI pipelines for robotic applications
Real-Time Sensor Integration
- Advanced sensor fusion methodologies
- Processing data streams from LiDAR, cameras, and diverse sensor arrays
- Implementing real-time navigation and obstacle avoidance strategies
Simulation and Testing
- Utilising simulation environments such as Gazebo and the MATLAB Robotics Toolbox
- Modelling complex dynamic environments
- Conducting performance evaluations and iterative optimisation
Automation and Deployment
- Programming robots for industrial automation tasks
- Developing efficient workflows for repetitive operations
- Safeguarding safety standards and reliability during deployment
Advanced Topics and Future Trends
- Collaborative robots (cobots) and the nuances of human-robot interaction
- Ethical frameworks and regulatory considerations in robotics
- Forecasting the future trajectory of Physical AI in automation
Requirements
- Foundational understanding of robotics and automation architectures
- Strong programming proficiency, with a preferred focus on Python
- Working knowledge of core Artificial Intelligence concepts
Target Audience
- Robotics engineers
- Automation specialists
- AI developers
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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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.