Autonomous Machines & Robotics
Lifecycle stages:
MLOps journey description: This journey involves AI-driven automation for robotics and self-operating systems. It integrates ML models with sensors, control systems, and reinforcement learning for autonomous decision-making.
Use case examples: Automating physical tasks and reducing human intervention in hazardous or repetitive environments.
- Autonomous drones for flare stack inspection
- Robotic crawlers for pipeline internal inspection
- Self-driving vehicles for logistics in large industrial areas
- Sub-sea robotic arms for underwater maintenance
- Automated cleaning robots for storage tanks