
GM Project ALICE Autonomous Large Industrial Complex for autonomous Shipbreaking.
ALICE is not a product. It is a system architecture of 20+ interconnected technology projects designed to make ship recycling fully autonomous from start to finish. The goal is singular: a yard where no worker is present in the cutting environment, where every decision is made by machines, and where the operator manages the entire process remotely from anywhere in the world.
Development began in 2020. All systems have been tested on real ship structures. Today, TRL 5-6 across all areas.
Environmental impact When done correctly, ship recycling dramatically reduces energy consumption and emissions compared to primary steel production.
The ALICE systems realise this potential at the highest level currently possible with today's technology.
Emissions measurement, gas analysis, energy efficiency monitoring, and IHM integration are inseparable parts of the process not requirements added later, but the design foundation of the system. Ship recycling has never been this efficient or this accountable from an environmental standpoint.
Social impact Ship recycling has for decades been an industry defined by heavy physical demands and high risk. Those conditions effectively determined who could enter the sector and that limitation was never a choice, it was a constraint. Until now, the technology to change this simply did not exist.
With GM Project ALICE, the requirement to be physically present in the cutting environment is eliminated.
The work becomes remote operation: monitoring, controlling, optimising from a workstation, an office, or anywhere in the world. The industry opens up to anyone with the right skills and focus, regardless of physical profile or geographic location.
This is not a side benefit it is a design requirement.

Green Mac's Robotic Recycling Process
Cutting Systems Robotic cutting cell systems modular, combinable in any configuration Robotic plasma and oxy-fuel cutting primary methods, field-tested Laser cutting in active development Elevated robotic cutting systems Mobile robotic systems operating on the vessel Robotic cutting systems for ship exterior surfaces Semi-autonomous ship preparation systems Cold metal cutting systems
Autonomy, AI & Machine Learning AI-powered PLC solutions Machine learning systems that continuously learn from operational data Digital twin fully autonomous generation 3D nesting and cutting path optimisation Autonomous vision processing systems
Logistics & Handling Autonomous crane systems Autonomous hook External axis applications for industrial robots Robotic metal recognition and handling Smart conveyor systems Scrap stock management systems
Monitoring, Safety & Environment Drone-based visual analysis and measurement Robotic operation monitoring systems 24/7 continuous video recording AI and robotics-integrated fire suppression systems Sensor-based gas analysis and monitoring Air filtration and analysis systems Energy and resource consumption & efficiency measurement Metal weight measurement and calculation
All systems continuously collect, record, and report data throughout operations. With 24/7 video recording and full data traceability, a level of transparency is achieved that has never before been seen in the industry.
IHM Hazardous Material Management Sensor-based full digital IHM analysis Continuous monitoring before, during, and after operations Real-time hazardous material detection and classification Sealed storage and tracking systems IHM monitoring and reporting software and hardware integration