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

Foundations of Smart Robotics and AI Integration

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

Advanced Perception Systems and Sensor Fusion

• Computer vision applications in robotics (including 2D/3D cameras and LiDAR technology)
• Methodologies for sensor calibration and data fusion
• Techniques for object detection and environmental mapping

Applying Deep Learning to Perception Tasks

• Utilizing neural networks for visual recognition tasks
• Implementing TensorFlow or PyTorch frameworks with robotic datasets
• Training perception models specifically for object tracking applications

Advanced Motion Planning and Path Optimization

• Exploring sampling-based and optimization-based planning approaches
• Practical use of MoveIt for complex motion planning scenarios
• Strategies for collision avoidance and dynamic re-planning

Implementing Learning-Based Control Strategies

• Applying reinforcement learning techniques to robotic control systems
• Embedding AI capabilities into low-level control loops
• Conducting simulations using OpenAI Gym and Gazebo environments

Collaborative Robots (Cobots) in Smart Manufacturing Settings

• Compliance with safety standards and principles of human-robot collaboration
• Programming and integrating cobots with AI-driven logic
• Designing adaptive behaviors for real-time responsiveness

End-to-End System Integration and Deployment

• Interface design with industrial controllers (PLC, SCADA systems)
• Deploying Edge AI solutions for real-time robotic operations
• Establishing robust data logging, monitoring, and troubleshooting protocols