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Built Robotics and Penn Engineering Partner on Construction AI

San Francisco-based Built Robotics is joining forces with the Safe Autonomous Systems Lab at Penn Engineering to refine physical AI models for the construction sector. The collaboration aims to merge high-fidelity field data with rigorous safety-critical software architectures to improve autonomous operations on active job sites.

Built Robotics and Penn Engineering Partner on Construction AI

The partnership focuses on the integration of Built Robotics' personnel detection AI with the safety-critical systems developed by Rahul Mangharam’s xLAB. By moving beyond controlled testing environments, the research team intends to validate autonomous performance under the unpredictable conditions of large-scale construction projects. Noah Ready-Campbell, CEO of Built Robotics, emphasized that the company’s proprietary edge AI, already refined across thousands of acres of solar projects, provides a necessary foundation for this safety-first approach.

The initial phase of the pilot project involves deploying Built Robotics’ edge AI across a fleet of survey robots operating on active solar construction sites. These units will collect high-fidelity sensor data, which xLAB will analyze to enhance model robustness and expand autonomous capabilities to additional vehicle platforms. For Ready-Campbell, the collaboration represents a professional homecoming, citing the formative influence of Penn Engineering’s GRASP Lab on his own trajectory in robotics. The ultimate goal remains establishing a new industry standard for how physical AI is validated and deployed in complex, human-heavy work environments.

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