Reading Time: < 1 minute, the autonomous startup backed by Ford, is forming the Carnegie Mellon University Argo AI Center for Autonomous Vehicle Research. To fund the Center, the company has pledged $15 million over five years to fund a team of five world-renowned faculty leaders and support graduate students conducting research in pursuit of their doctorates, to push the envelope on the next-generation of self-driving technology.

The Center will focus on end-to-end autonomous software, including perception, decision-making and actuation. Through this, Argo will look to advance beyond its first-generation system, to serve more cities, operate more efficiently and interact safely in the most complex environments. 

To build robotic systems that can operate in the real world, a massive amount of infrastructure is needed for continuous software integration, large-scale sensor data collection and processing, and fleet maintenance and refinement. 

This Center builds on Argo’s already existing collaboration with CMU and Georgia Tech, while introducing a unique model for academic engagement with unprecedented access and openness. 

Argo will provide access to data, infrastructure, and platforms to CMU students engaged in autonomous vehicle research. Notably, this access is combined with a commitment to producing open research, software, and datasets that can be used by the research community at large. 

The Carnegie Mellon University Argo AI Center for Autonomous Vehicle Research further builds on Argo’s growing connection to the academic community. Recently, Argo AI launched Argoverse, a collection of sensor data and HD maps for computer vision and machine learning research to advance self-driving technology. The researchers and faculty working in this center will not only have access to Argoverse, they will have access to far more data and knowledge through their direct collaboration with Argo.

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