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Course Outline
Introduction to Edge AI in Robotics
- Defining Edge AI
- The necessity of Edge AI for robotics
- Challenges associated with real-time AI in autonomous systems
Deploying AI Models on Edge Devices
- Performing AI inference on NVIDIA Jetson and other edge hardware
- Utilizing TensorFlow Lite and ONNX for edge deployment
- Optimizing AI models for real-time execution
Real-Time Perception for Autonomous Systems
- Applying computer vision to robotic navigation
- Sensor fusion techniques involving LiDAR, cameras, and IMUs
- Leveraging Edge AI for object detection and tracking
Decision-Making and Control in Robotics
- Applying reinforcement learning to autonomous behaviors
- Implementing path planning and obstacle avoidance
- Optimizing latency in real-time AI systems
Integrating AI with ROS (Robot Operating System)
- Overview of the ROS ecosystem
- Running AI-based perception models within ROS
- Utilizing Edge AI in multi-robot and swarm robotics applications
Optimizing AI for Low-Power Robotic Systems
- Designing efficient neural network architectures for robotics
- Strategies for reducing power consumption in AI-driven robots
- Deploying AI on battery-powered robotic platforms
Real-World Applications and Future Trends
- Autonomous drones and industrial robots
- The rise of AI-powered robotic assistants
- Emerging advancements in Edge AI for robotics
Summary and Next Steps
Requirements
- A foundational understanding of AI and machine learning models
- Prior experience with embedded systems or robotics
- Fundamental knowledge of real-time computing
Target Audience
- Robotics engineers
- AI developers
- Automation specialists
21 Hours
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 4800 € + VAT*
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