Protocol Infrastructure Launches Robot Fleet Framework for Commercial Buildings

September 09, 2026
Protocol Infrastructure has released the Protocol Asset Index, a framework that assesses whether commercial buildings can support robot fleets from multiple suppliers.

Protocol Infrastructure launches the Protocol Asset Index, a vendor neutral framework for coordinating robot fleets from multiple suppliers in commercial buildings, the company said in a press release.

The index assesses a property's physical constraints, network continuity and API readiness. It produces a remediation roadmap, a technical specification sheet for procurement and a machine readable map of access paths, interfaces and constraints.

Protocol OS and Protocol SDK will follow in the first quarter of 2027. Protocol OS will connect robot fleets with elevators, automatic doors and access control systems, while the open source SDK will let robotics companies access certified buildings without creating a separate integration for each property. The company says Protocol OS will process fleet identity and transit events without collecting video or tenant personal information.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Brief AI Brief (X)

More from: Robotics

09/09
SandboxAQ Tests Magnetic Navigation on Northrop Grumman Lumberjack Drone
09/09
Beep Raises Series B for Autonomous Transit Services
09/09
Nauticus Robotics Releases ToolKITT Software for ROV Fleets
09/09
Hyper3D Launches WorldGen for Editable 3D Scenes
09/09
DFI Introduces Mini-ITX Platform for Robotics AI

Subscribe to Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You May Also Like