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

Foundations of Smart Robotics and AI Integration

• Exploring the landscape of robotics in Industry 4.0
• The critical role of AI in perception, planning, and control
• Setting up software and simulation environments

Perception Systems and Sensor Fusion

• Applying computer vision in robotics (2D/3D cameras, LiDAR)
• Techniques for sensor calibration and data fusion
• Advanced object detection and environment mapping

Deep Learning Applications in Perception

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

Motion Planning and Path Optimization

• Comparing sampling-based and optimization-based planning methods
• Practical implementation using MoveIt for motion planning
• Strategies for collision avoidance and dynamic re-planning

Learning-Based Control Strategies

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

Collaborative Robots (Cobots) in Smart Manufacturing

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

System Integration and Deployment

• Interfacing with industrial controllers (PLC, SCADA)
• Deploying Edge AI for real-time robotic operations
• Implementing data logging, monitoring, and troubleshooting protocols