// ROSLAB · Physical AI deployment ecosystem · v1

Put Physical AI to workin the real world.

We match your job to the right robot, plan how it runs, and stay with you until it's working on your floor — from one pilot to a whole fleet.

100,000+
pre-vetted C++ / RTOS experts
// 01 · how a deployment runs
01

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.

02

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.

03

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.

// 03 · process

From brief to commissioned cell.

RosLab is not a directory and not a reseller. It is an agentic Physical AI deployment protocol 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.

01

1. Submit one project brief

Describe the use case, environment, payload, cycle time, location, and timeline. AI co-writer optional. Five minutes, one form.

02

2. Protocol + plan

Our engineers shortlist a robot platform that fits the spec — from legacy OEMs to new generalizable robots, including humanoids — and design the agentic Physical AI deployment protocol around it.

03

3. Review the recommendation

You see the matched robot, the deployment protocol diagram, and an estimated lead time and budget tier — in one document.

04

4. Compatibility & safety check

The RosLab team runs a structured intake on your facility, network, and safety requirements. Blockers are flagged before you commit.

05

5. RosLab team commissions the cell

The RosLab team — reinforced by pre-vetted C++ / RTOS experts from our partner Hashlist.com — supports the implementation from PO to commissioned cell, owning the rollout end-to-end with one accountable point of contact.

06

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.

// 04 · catalog

Robots & services —
matched to your brief.

Describe your project below. Our engine recommends the platform that fits and the deployment plan the RosLab team will support end-to-end.
Filters
Category
Budget
Deployment
Availability
Search the catalogue

Describe what you need or pick a category, budget, deployment, or availability filter above to see matching robots, spare parts, and software packages.

29 listings available
The agentic Physical AI deployment protocol

A brain in the cloud, a coordinator on the robot, and a safety check before anything moves.

That's the whole protocol: the robot thinks with big AI models in the cloud, decides its next step locally, and every move is checked for safety before the hardware acts. It runs on any GPU or edge computer, so the same setup works for one pilot robot or a whole fleet.

We build on open, model-agnostic interfaces between agents and machines — the same direction as Anthropic's Model Hardware Standard, where each device declares what it can measure, what can be adjusted, and the safety limits it enforces. Integrations that used to take months take hours, and the AI never drives the motors directly. Read our take →

01 · Cloud brain

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.

02 · On-robot computer

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.

03 · Safety & control

Safe motion to the hardware

Every planned move is checked for reach and collisions before anything happens. The AI never drives the motors directly.

// research feed · arxiv + hugging face

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.

source
try
// 02 · frequently asked