UK tech stalwart Scan Computers and Sheffield-born startup OLO Robotics have joined forces to tackle one of the industry’s most persistent—and expensive—headaches: the sheer, soul-crushing complexity of the Robot Operating System (ROS). The partnership pairs Scan’s extensive fleet of Unitree quadrupeds and humanoids with OLO’s clever browser-based software, promising to get sophisticated machines doing actual work without the need to hire a small army of “unobtanium-grade” ROS engineers.
At the heart of the deal is OLO’s platform, which essentially acts as a universal translator for those of us who don’t spend our weekends dreaming in C++ and Python libraries. Sitting atop the powerful but notoriously finicky ROS 2 framework, it abstracts away the complexity into a slick, user-friendly interface for simulation, teleoperation, and programming—all accessible through a standard web browser.
The value proposition is simple: a customer can pick up a Unitree Go2 quadruped from Scan and, as OLO Robotics COO Eleanor Tang-Smith puts it, “go from unboxing to autonomous navigation” without writing a single line of tortuous code. It’s a direct shot at the skills gap that often leaves capable robots gathering dust in the corner of a lab because nobody knows how to talk to them.
Scan, an NVIDIA Elite Partner, already commands a massive robotics portfolio covering everything from hardware and simulation to AI infrastructure. By folding OLO’s platform into the mix, they’re bridging the gap between high-end hardware and practical application for academic research, industrial inspection, and rapid prototyping. While the open-source ROS 2 project provides the heavy-duty plumbing, OLO provides the “plug-and-play” accessibility layer.
Why does this matter?
This partnership isn’t just about shifting more robot dogs; it’s a full-frontal assault on the high barrier to entry that has kept advanced robotics a niche pursuit. By swapping out the requirement for deep, specialised expertise for a “no-setup-needed” browser platform, the duo could significantly speed up the adoption of mobile robots in sectors that don’t have a dedicated robotics department on speed dial.
It reflects a wider shift in the industry: moving away from raw, developer-only tools toward polished, end-to-end solutions. For those wanting to see if the reality lives up to the hype, the companies will be demoing the joint solution at the Scan stand (3068) during NVIDIA GTC Berlin from October 20-22, 2026.