Future AI Infrastructure

Robotics

Modern AI infrastructure faces the challenge of balancing hardware reliability with cost management. As the infrastructure expands, hardware failures become common, resulting in costly downtime and frequent repairs. The traditional approach requires numerous technicians and can take many hours to days to service, hindering efficiency as demand for cloud-based services grows. Datacenter robotics and automation offer a transformative solution to this challenge.

At MSR, we are developing cutting-edge robotics to revolutionize datacenter operations. By co-designing hardware and software, we ensure seamless integration of our modular robots. Starting with networking, our dexterous robots autonomously manipulate optical transceivers and cables and perform complex tasks such as optical fiber cleaning and installation. These robots navigate densely packed environments filled with delicate, intersecting cables, which are typically challenging due to occlusions and the complexity of deformable objects.

Our goal is to enable self-maintaining datacenters by leveraging dexterous modular robotics, AI, and automation. Our robotic systems are engineered for dexterous manipulation of hardware throughout its lifecycle—from initial rack assembly and deployment to ongoing maintenance, repairs, decommissioning, and reconfiguration. By implementing these autonomous solutions, datacenters can significantly reduce service window durations and enhance reliability, paving the way for a more resilient future cloud. The future of cloud infrastructure is adaptive, efficient, and resilient, and robotics will play a pivotal role in achieving this vision!

Learn more:

Self-maintaining [networked] systems: The rise of datacenter robotics!
Publication | November 2024

Robust Optical Transceiver Manipulation in Cluttered Cable Environments Using 3D Scene Understanding and Planning
Publication | May 2025