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Built Robotics is partnering with the University of Pennsylvania’s Safe Autonomous Systems Lab, known as xLAB, to advance research in physical AI aimed at creating autonomous construction systems capable of safe operation in real-world environments. This collaboration combines Built Robotics' expertise in deploying autonomous technologies on construction sites with xLAB's cutting-edge research in safety and automation. The initiative seeks to enhance the efficiency and safety of construction processes by leveraging innovative AI solutions.
AIInsider By Greg Bock Jun 17, 2026 AI AI Funding & Investment AI Research & Advances Robotics Built Robotics Partnership
A new collaboration has emerged between xLAB and Built Robotics, focusing on enhancing safety in autonomous systems. This partnership aims to combine xLAB's extensive experience in developing high-performance, safety-critical technologies with Built Robotics' advanced edge AI model, which specializes in personnel detection and ensuring human safety. The initiative is designed to address growing concerns about safety in automated environments, particularly as the use of autonomous systems becomes more prevalent across various industries. By integrating their expertise, the two companies hope to create solutions that not only improve operational efficiency but also prioritize the well-being of individuals working alongside these technologies.
RoboticsTomorrow.com Jun 17, 2026
xLAB and Built Robotics have announced a partnership aimed at enhancing construction site safety through advanced artificial intelligence. This collaboration focuses on capturing additional data to refine AI models that can better predict and mitigate risks in construction environments. The initiative comes at a time when the construction industry is increasingly prioritizing safety measures, driven by the need to reduce accidents and improve operational efficiency. By leveraging innovative technology, the two organizations aim to create a more secure working environment for construction workers. The development of this physical AI is expected to take place over the coming months, with both companies committed to integrating their expertise to achieve significant advancements in the field.
RoboticsBusinessReview.com By Mike Oitzman Jun 16, 2026 Academia / Research Artificial Intelligence Autonomous Mobile Robots (AMRs) Construction Mining NewsRSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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