

ADNOC Rolls Out Industry-First AI Robot for Autonomous Plant Inspections
Editorial Highlights
- •ADNOC has deployed a new heavy-duty inspection robot at the Taweelah Gas Compression Plant for autonomous hazard detection.
- •The robot utilizes 3D LiDAR and thermal imaging to identify leaks and hotspots, significantly improving site safety.
- •A next-generation 'operator' robot capable of physical maintenance tasks is currently in development for deployment by 2026.
Abu Dhabi National Oil Company (ADNOC) has successfully deployed Taurob’s heavy-duty inspector robot at its Taweelah Gas Compression Plant, marking a significant step in the use of AI-powered industrial robotics in live energy operations. The robot conducts routine inspections in hazardous environments without putting people at risk, helping improve safety, operational reliability, and performance.
Built for extreme industrial environments, the robot is fitted with a wide range of advanced sensors, including 3D LiDAR (Light Detection and Ranging) technology and thermal cameras with 360-degree visibility. It is now conducting on-site autonomous inspections as the first set of ‘eyes’ on the ground, enabling ADNOC’s engineers to identify potential gas leaks, unusual hotspots, and other hazards to enhance safety.
ADNOC has also announced plans to further expand its robotics program by co-developing the industry’s first heavy-duty ‘operator’ robot. Unlike inspection robots that primarily monitor assets, the operator robot will be capable of physically interacting with industrial equipment by lifting, gripping, turning valves, and operating gauges in high-risk environments.
Developed under the ARGOS Joint Industry Project alongside Equinor, the Net Zero Technology Centre, Petrobras, TotalEnergies, Saft, and Taurob, the heavy-duty operator robot will be able to work in temperatures ranging from -20°C to 60°C. It will be strong enough to lift heavy equipment and precise enough to turn valves and operate gauges, tasks that would normally require people to enter high-risk areas. The robot can be operated remotely or carry out tasks autonomously, allowing maintenance and intervention work to be completed safely. It is due to be operational by the end of 2026.
Dena Almansoori, Group Chief Technology and Innovation Officer, ADNOC, said, “Artificial and physical intelligence are core to ADNOC’s long-term energy strategy, transforming how we operate across the value chain. At Taweelah, autonomous advanced robots are already deployed in live operations as we continue to develop the next generation of industrial robotics. This is innovation with purpose, enhancing safety, reducing emissions, improving performance, and supporting the UAE’s AI Strategy 2031 and Robotics & Automation agenda.”
These milestones support ADNOC’s broader Advanced Technology, AI, Robotics, and HSE strategies, combining AI-enabled oversight with robotics to reduce risk exposure and strengthen safe, reliable operations.
Matthias Biegl, Managing Director, Taurob GmbH, stated, “We greatly valued ADNOC’s contribution to the ARGOS Joint Industry Project. Their extensive experience operating in challenging environments, including the extreme heat of the Middle East, brought an essential regional dimension to the initiative. ADNOC and the UAE’s strong focus on digital transformation and robotics enabled us to apply advanced technologies in ways that enhance safety and efficiency, while supporting our shared ambition to reduce emissions through the expanded use of robotics.”
The deployment forms part of ADNOC’s broader strategy to scale AI, robotics, and autonomous technologies across its operations. Alongside advanced tools such as HSE Cockpit.ai, which has reduced safety incidents by 30 percent, ADNOC is increasingly using robots and drones for hazardous inspections, emissions monitoring, and incident response across land, sea, and air, including use cases such as red-zone and confined-space operations. Together, these capabilities demonstrate how AI-powered industrial automation can enhance safety, efficiency, and operational resilience at scale.
For more information: www.adnoc.ae
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