Get robots workingin the real world.
RosLab helps companies put AI-powered robots to work — from a single pilot to a whole fleet. Send us a short brief and our team comes back with the right robot, a clear deployment plan, and the engineers to make it happen.
Tell us what you need
Answer a few questions about the task, the site and the timeline. Our AI helper drafts the brief with you in about five minutes.
We propose a robot and a plan
Our engineers pick a robot that fits the job and design how it will run — from the AI in the cloud to the safety checks on the floor.
We deliver and support it
Approve the proposal and our team handles the rollout — from order to a working robot cell — with one point of contact throughout.
From brief to commissioned cell.
RosLab is not a directory and not a reseller. It is a deployment platform that pairs your use case with the right robot, the right architecture, and a team that stays in the loop until the cell is running.
1. Submit one project brief
Describe the use case, environment, payload, cycle time, location, and timeline. AI co-writer optional. Five minutes, one form.
2. Platform + plan
Our engineers shortlist a robot platform that fits the spec — from legacy OEMs to new generalizable robots, including humanoids — and design the three-layer deployment around it.
3. Review the recommendation
You see the matched platform, the platform diagram, and an estimated lead time and budget tier — in one document.
4. Compatibility & safety check
The RosLab team runs a structured intake on your facility, network, and safety requirements. Blockers are flagged before you commit.
5. RosLab team commissions the cell
The RosLab team supports the implementation from PO to commissioned cell, owning the rollout end-to-end with one accountable point of contact.
6. Operate with one point of contact
Fleet health, logs, incident response, and rollback controls — coordinated through RosLab so you never chase the OEM and platform vendor separately.
Robots & services —
matched to your brief.
Describe what you need or pick a category, budget, deployment, or availability filter above to see matching robots, spare parts, and software packages.
Three layers that let robots think in the cloud and act safely on the floor.
A powerful AI brain in the cloud, a coordinator on the robot itself, and a safety-checked control loop that moves the hardware — compute-agnostic and portable across GPU vendors and edge modules, so the same setup scales from one pilot to a whole fleet.
Thinking, learning, simulation
Big AI models live in the cloud. They handle complex reasoning, learn from what the fleet sees, and rehearse tasks in a virtual copy of the workplace before the robot tries them.
The robot's local coordinator
A small computer on the robot keeps track of what it sees and where it is, decides the next step, and keeps working even when the network is slow.
Safe motion to the hardware
Every planned move is checked for reach and collisions before anything happens. The AI never drives the motors directly.
Search arXiv and Hugging Face for robotic deployment research
Query open-access papers and get a plain-language summary plus a note on why each result matters for real-world robot deployments.