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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.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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