🚜 AI-Powered Construction Equipment

Built Robotics - how AI helps construction perform tasks in a more efficient and safer manner

🚜 AI-Powered Construction Equipment
Photo by Maria Lupan / Unsplash

Today's Highlights

  • Built Robotics - self-driving construction equipment
  • This Week On BuzzBelow - a recap on this week's topics.
  • In Other News - a few interesting developments we're tracking.

Built Robotics - self-driving construction equipment

Built Robotics is a firm that focuses on the development of self-driving construction equipment. Constructed Robotics uses a combination of sensors, machine learning, and artificial intelligence. The sensors let the equipment explore and function autonomously, while machine learning algorithms and AI software allow it to make intelligent judgments and adapt to changing situations.

Built Robotics has created a variety of equipment that may be retrofitted with their autonomous technology, including as bulldozers, excavators, and skid steers. This enables construction organizations to use their present machinery while benefiting from the greater efficiency and safety provided by autonomous equipment.

One of the primary benefits of adopting self-driving construction equipment is the enhanced productivity it provides. By eliminating the need for human operators, the equipment can run nonstop around the clock, allowing projects to be finished faster. Furthermore, the autonomous technology allows the equipment to run more efficiently, decreasing fuel consumption and minimizing machine wear and tear.

Another significant advantage of adopting self-driving construction equipment is its safety. Construction sites may be dangerous places, and heavy machinery accidents can be serious, even fatal. Accidents are greatly decreased by separating human operators from the machinery. Furthermore, Built Robotics' sensors and AI technology can recognize possible risks and respond properly, greatly improving building site safety.

Built Robotics was founded in 2016 by Noah Ready-Cambell and Andrew Liang. They have raised $112 million to date.


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