CivNav works with AI, existing equipment, and Civ Robotics' CivDot robots to efficiently place materials in construction ...

To quickly and accurately characterize prospective materials for use in solar energy, researchers built an automated system to perform laboratory experiments and used machine learning to help analyze ...

Civ Robotics has unveiled CivNav, an AI-driven machine-control material distribution system designed to speed up utility-scale solar construction by optimising logistics, improving placement accuracy, ...

Civ Robotics’ artificial intelligence (AI) powered navigation system tool is currently being tested at several large solar parks in the United States. The company says it eliminates the need for ...

The installation of almost 500,000 solar panels at the France-headquartered developer ENGIES‘s Goorambat East Solar Farm in Victoria will be completed by October 3, thanks in part to a collaboration ...

Civ Robotics has launched a new AI-powered material distribution system for the solar industry. CivNav speeds up solar ...

Rosendin, an electrical contracting company, announced that its Renewable Energy Group (RREG) will demonstrate its new autonomous robotic solution for solar module installation on April 17 in West ...

Finding the best material to make solar cells is a colossal task, but a research team at Osaka University has been using robotic systems and AI to make the search faster and more efficient Osaka, ...

Neoen is not the only renewables developer testing out a robot: the contractor at Engie’s Goorambat East solar farm is also trialling autonomous machines, this time for pile driving. The Build ...

In an age where technology is advancing at breakneck speed, Cosmic Robotics stands at the forefront, pioneering innovative solutions in the solar panel industry. Their cutting-edge robotic systems are ...

Forward-looking: A new chapter in materials science is unfolding at MIT, where researchers have developed a fully autonomous robotic system designed to accelerate the search for advanced ...