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Duration 21 hours
Course Outline
Introduction to Smart Robotics and AI Integration
- Robotics in the context of Industry 4.0
- The function of AI in perception, planning, and control
- Relevant software and simulation environments
Perception Systems and Sensor Fusion
- Computer vision for robotics (2D/3D cameras, LiDAR)
- Methods for sensor calibration and fusion
- Detecting objects and mapping the environment
Deep Learning for Perception
- Neural networks for visual recognition
- Leveraging TensorFlow or PyTorch with robotic data
- Training perception models for object tracking
Motion Planning and Path Optimization
- Sampling-based and optimization-based planning methods
- Utilizing MoveIt for motion planning
- Collision avoidance and dynamic re-planning
Learning-Based Control Strategies
- Reinforcement learning for robotic control
- Incorporating AI into low-level control loops
- Simulation using OpenAI Gym and Gazebo
Collaborative Robots (Cobots) in Smart Manufacturing
- Safety standards and human-robot collaboration
- Programming and integrating cobots with AI
- Adaptive behaviors and real-time responsiveness
System Integration and Deployment
- Connecting with industrial controllers (PLC, SCADA)
- Deploying Edge AI for real-time robotics
- Data logging, monitoring, and troubleshooting
Requirements
- A solid grasp of robotic systems and kinematics
- Proficiency in Python programming
- Knowledge of AI or machine learning principles
Target Audience
- Robotics engineers
- Systems integrators
- Automation leads
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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How to use and explore AI for daily works