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

Fundamentals of Intelligent Robotics and AI Embedding

• The landscape of robotics in Industry 4.0.
• The impact of AI on vision, strategic planning, and regulation.
• Key software tools and simulation platforms.

Vision Systems and Multi-Sensor Fusion

• Robotic computer vision (utilizing 2D/3D cameras and LiDAR).
• Techniques for sensor calibration and data fusion.
• Identifying objects and mapping surroundings.

Applying Deep Learning to Vision

• Leveraging neural networks for visual identification.
• Utilizing TensorFlow or PyTorch to process robotic datasets.
• Developing vision models for tracking objects.

Movement Strategy and Route Optimization

• Planning methods based on sampling and optimization.
• Utilizing MoveIt for strategic movement planning.
• Avoiding collisions and executing dynamic route adjustments.

Control Strategies Based on Machine Learning

• Using reinforcement learning to manage robotic actions.
• Embedding AI into foundational control cycles.
• Simulating scenarios using OpenAI Gym and Gazebo.

Collaborative Robots (Cobots) in Smart Production

• Safety protocols and the synergy between humans and robots.
• Configuring and embedding AI into collaborative robots.
• Achieving adaptive actions and instant responsiveness.

System Embedding and Rollout

• Connecting with industrial control units (PLC, SCADA).
• Deploying Edge AI for instant robotic responses.
• Recording data, overseeing performance, and resolving issues.

Recap and Future Directions