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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.

Bio & NewsJune 16, 2026962 reads0

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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