Smart Robotics in Manufacturing: AI for Perception, Planning, and Control Training Course

Foundations of Intelligent Robotics and AI Integration

• Contextualizing robotics within the Industry 4.0 landscape
• The impact of AI on perception, planning, and control functions
• Introduction to relevant software and simulation platforms

Advanced Perception Systems and Sensor Fusion

• Applying computer vision in robotics (2D/3D imaging, LiDAR technology)
• Techniques for sensor calibration and data fusion
• Methods for object identification and environmental mapping

Deep Learning Applications in Perception

• Utilizing neural networks for visual recognition tasks
• Leveraging TensorFlow or PyTorch for processing robotic data
• Training perception models for continuous object tracking

Advanced Motion Planning and Path Optimization

• Strategies based on sampling and mathematical optimization
• Utilizing MoveIt for sophisticated motion planning
• Techniques for collision avoidance and dynamic path re-planning

Learning-Driven Control Methodologies

• Applying reinforcement learning to robotic control systems
• Incorporating AI within low-level control loops
• Simulating scenarios using OpenAI Gym and Gazebo

Collaborative Robots (Cobots) in Intelligent Manufacturing

• Compliance with safety standards for human-robot collaboration
• Programming and integrating cobots with AI capabilities
• Developing adaptive behaviors for real-time responsiveness

End-to-End System Integration and Deployment

• Interfacing with industrial controllers (PLC, SCADA systems)
• Implementing Edge AI for instantaneous robotic operations
• Managing data logging, system monitoring, and diagnostic troubleshooting