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 and simulation environments

Perception Systems and Sensor Fusion

• Computer vision applications in robotics (2D/3D cameras, LiDAR)
• Techniques for sensor calibration and data fusion
• Object detection and mapping of dynamic environments

Deep Learning Applications in Perception

• Utilising neural networks for visual recognition tasks
• Working with TensorFlow or PyTorch using robotic datasets
• Training perception models for precise object tracking

Motion Planning and Path Optimisation

• Sampling-based versus optimisation-based planning approaches
• Implementing motion planning with MoveIt
• 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
• Simulation practices using OpenAI Gym and Gazebo

Collaborative Robots (Cobots) in Smart Manufacturing

• Safety standards and protocols for human-robot collaboration
• Programming and integrating cobots with AI capabilities
• Designing adaptive behaviours and real-time responsiveness

System Integration and Deployment

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