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

Introduction to Intelligent Robotics and AI Integration

• Overview of robotics in the context of Industry 4.0.
• The role of AI in perception, planning, and control.
• Relevant 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 environmental mapping.

Deep Learning for Perception

• Neural networks for visual recognition.
• Utilizing TensorFlow or PyTorch with robotic datasets.
• Training perception models for object tracking.

Motion Planning and Path Optimization

• Sampling-based and optimization-based planning methods.
• Working with MoveIt for motion planning.
• Collision avoidance and dynamic re-planning strategies.

Learning-Based Control Strategies

• Reinforcement learning for robotic control.
• Integrating 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 capabilities.
• Adaptive behaviors and real-time responsiveness.

System Integration and Deployment

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

Summary and Next Steps