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

Foundations of Advanced Robotics and AI Synergy

• Contextual overview of robotics within Industry 4.0
• The contribution of AI to perception, planning, and control systems
• Essential software tools and simulation platforms

Sensory Systems and Multi-Sensor Integration

• Application of computer vision in robotics (using 2D/3D cameras and LiDAR)
• Methods for sensor alignment and data fusion
• Identifying objects and constructing environmental maps

Applying Deep Learning to Sensory Tasks

• Utilizing neural networks for visual identification
• Processing robotic data using TensorFlow or PyTorch
• Building perception models capable of continuous object tracking

Path Planning and Trajectory Optimization

• Strategies based on sampling and optimization for planning
• Utilizing MoveIt for complex motion planning tasks
• Techniques for collision prevention and dynamic path adjustment

Control Strategies Driven by Machine Learning

• Applying reinforcement learning to robotic maneuvers
• Incorporating AI into primary control feedback loops
• Conducting simulations using OpenAI Gym and Gazebo

Collaborative Robots (Cobots) in Intelligent Production

• Compliance with safety regulations and principles of human-robot interaction
• Programming cobots and integrating them with AI frameworks
• Achieving adaptive responses and real-time operational agility

System Interfacing and Operational Deployment

• Connecting with industrial management systems (PLC, SCADA)
• Implementing Edge AI for immediate robotic response
• Managing data records, system surveillance, and issue resolution