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

Foundations of Intelligent Robotics and AI Integration

• Contextualizing robotics within Industry 4.0
• The function of AI in perception, planning, and control
• Relevant software and simulation platforms

Perception Architectures and Sensor Fusion

• Computer vision applications in robotics (2D/3D cameras, LiDAR)
• Methodologies for sensor calibration and fusion
• Techniques for object detection and environmental mapping

Deep Learning Applications in Perception

• Utilizing neural networks for visual recognition tasks
• Employing TensorFlow or PyTorch with robotic datasets
• Training perception models for precise object tracking

Motion Planning and Path Optimization

• Sampling-based and optimization-based planning approaches
• Implementing motion planning with MoveIt
• Strategies for collision avoidance and dynamic re-planning

Learning-Driven Control Strategies

• Applying reinforcement learning to robotic control
• Embedding AI into low-level control loops
• Conducting simulations via OpenAI Gym and Gazebo

Collaborative Robots (Cobots) in Smart Manufacturing

• Safety protocols and human-robot interaction standards
• Programming and integrating cobots with AI capabilities
• Achieving adaptive behaviors and real-time responsiveness

System Integration and Deployment

• Connecting with industrial controllers (PLC, SCADA)
• Deploying Edge AI for real-time robotic operations
• Managing data logging, monitoring, and diagnostics

Conclusion and Future Directions