Autonomous Mobile Robots (AMR) for Consolidated Services Center (CSC) & Clinical Services Building (CSB) RFP

The University of Texas MD Anderson Cancer Center is seeking proposals for Autonomous Mobile Robots (AMR) to be deployed at its Consolidated Services Center (CSC) and Clinical Services Building (CSB), with the primary objective of implementing point-to-point automation systems for material transportation. The RFP requires vendors to provide a flexible, scalable robotic solution capable of transporting medical supplies, linen, trash, recycling, and food service items across multiple levels and buildings. The proposed technology must meet stringent data security standards, including SOC 2 Type 2 certification, TX-Ramp compliance, and comprehensive cybersecurity protocols. The system must handle an estimated 755 daily totes at the CSC with a maximum one-way distance of 220 feet and navigate a 2,500-foot round trip at the CSB, including complex navigation through bridges and elevators. Key procurement dates include a virtual presentation and demonstration period scheduled for July 15-16, 2025, with contract award anticipated by July 29, 2025, and contract negotiations to be completed by August 15, 2025. Vendors are expected to provide detailed specifications, implementation plans, staff training, and ongoing maintenance and support for the autonomous mobile robot system.

While no specific set-aside designations were explicitly mentioned in the documentation, the RFP suggests a comprehensive and technically sophisticated procurement process that will likely favor vendors with proven experience in healthcare logistics automation. The robotic solution must accommodate various cart types, including Materials Management U-boats, linen carts, trash carts, and potentially expand to include regulated medical waste and pharmaceutical transport. Vendors will need to demonstrate robust technological capabilities, including advanced navigation systems, data security measures, and adaptability to dynamic healthcare environments. The system should be scalable and capable of integrating with existing infrastructure while maintaining high levels of operational efficiency. Although a specific budget range was not disclosed in the available documentation, the complexity of the project and the specialized nature of the autonomous mobile robot system suggest a significant investment in advanced logistics technology for the medical center.