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

Foundations of Advanced Robotics and AI Integration

• Overview of robotics in the context of Industry 4.0.
• The pivotal role of AI in perception, planning, and control.
• Essential software and simulation environments.

Perception Systems and Sensor Fusion

• Computer vision applications in robotics (2D/3D cameras, LiDAR).
• Techniques for sensor calibration and fusion.
• Object detection and environment mapping strategies.

Deep Learning Applications in Perception

• Utilizing neural networks for visual recognition tasks.
• Working with TensorFlow or PyTorch using robotic datasets.
• Training perception models for effective object tracking.

Motion Planning and Path Optimization

• Sampling-based and optimization-based planning methods.
• Utilizing MoveIt for advanced motion planning.
• Collision avoidance and dynamic re-planning capabilities.

Learning-Based Control Strategies

• Reinforcement learning applications in robotic control.
• Integrating AI into low-level control loops.
• Simulation exercises using OpenAI Gym and Gazebo.

Collaborative Robots (Cobots) in Smart Manufacturing

• Safety standards and principles of human-robot collaboration.
• Programming and integrating cobots with AI frameworks.
• Adaptive behaviors and ensuring real-time responsiveness.

System Integration and Deployment

• Interfacing with industrial controllers (PLC, SCADA).
• Edge AI deployment for real-time robotic operations.
• Data logging, monitoring, and troubleshooting protocols.

Conclusion and Future Directions