NewVertex Mini, walker edition

Build robots with agents.

Requirements, CAD, PCBs, simulation, training and firmware in one versioned workspace, with agents that design alongside you.

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Built in AccelerAI

Vertex Mini, walker edition

A small wheel-legged biped. Each leg pitches at the hip, swings out on an abduction joint, turns at the thigh and bends at the knee, and ends in a driven wheel, so it can roll, balance and step. The body carries the battery low and the unchanged Vertex Mini PCB above it, with an LED strip behind the front window.

Every part, the assembly and its joint limits, the board, the MuJoCo model and the locomotion policy live in one AccelerAI project. What you see above is that CAD.

Hip pitchHip abductionThigh yawKneeWheel
10
Unitree servos
5
joints per leg
67 mm
wheels on the shins
ASA
printed shell
Trained in simulation with mjlab on GPU sandboxes, then flashed to the robot.

One workspace

From requirement to firmware, in one place

Agents work through the same tools you do: they read the project, model parts, check fits and clearances, route boards and start training runs, and every change lands as a commit you can review.

Requirements and tasks

Capture what the robot must do and track the work on a board the agents read and update too.

CAD and assemblies

Parametric Part Studios, sketches with constraints, and assemblies whose mates become the robot's joints.

PCBs

Boards as code with tscircuit, checked, routed and rendered in 3D, sharing one contract with the CAD.

Simulation and training

Export to MJCF or URDF, simulate in MuJoCo in the browser and train policies with reinforcement learning.

Analysis and firmware

Run FEA on printed parts, then take the trained policy all the way to the microcontroller.

Versioned like code

Every change is a commit. Try wheels instead of feet on a variant, compare, and merge what works.

Start your next robot

Open the Vertex Mini example, or begin from a blank project.

Get started