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

Foundations of Smart Robotics and AI Integration

• The landscape of robotics in Industry 4.0
• The pivotal role of AI in perception, planning, and control
• Essential software tools and simulation environments

Perception Systems and Sensor Fusion

• Robotics-focused computer vision (utilizing 2D/3D cameras and LiDAR)
• Methods for sensor calibration and data fusion
• Techniques for object detection and environmental mapping

Deep Learning Applications in Perception

• Employing neural networks for visual recognition
• Leveraging TensorFlow or PyTorch for robotic data processing
• Training perception models for effective object tracking

Motion Planning and Path Optimization

• Strategies involving sampling-based and optimization-based planning
• Utilizing MoveIt for advanced motion planning
• Implementing collision avoidance and dynamic re-planning

Learning-Based Control Strategies

• Applying reinforcement learning to robotic control
• Embedding AI into low-level control loops
• Simulation exercises using OpenAI Gym and Gazebo

Collaborative Robots (Cobots) in Smart Manufacturing

• Safety protocols and frameworks for human-robot collaboration
• Programming and integrating AI-enhanced cobots
• Developing adaptive behaviors for real-time responsiveness

System Integration and Deployment

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