Hardware/Kinematics Mini

Open Source · From $1,499

Kinematics Mini

The open-source edge brain. NVIDIA Jetson Orin Nano + 2× Intel RealSense D435i in a 3D-printable case. Ships with the OpenBrain stack — ROS2 Humble, teleop, SLAM, Nav2, RL deployment. Drop it on any ROS2 robot.

Or build it yourself — every STL, STEP, schematic, and BOM is open.

3D model: JCO-1000_ ORN C by Embedded Computer and Industrial Touch Display on Sketchfab

Specifications

Complete hardware specs for the assembled Mini box.

ComputeNVIDIA Jetson Orin Nano 8GB Dev Kit
OSUbuntu 22.04 + JetPack 6.2
Cameras2× Intel RealSense D435i (RGBD + IMU)
StorageNVMe SSD (recommended) — boots from microSD
Power input12V DC barrel jack (5.5×2.1mm)
Power conversion12V → 5V/3A buck converter
ConnectivityGigabit Ethernet · WiFi 5/Bluetooth (M.2)
CoolingPassive heatsink + 40mm low-noise fan
Enclosure3D-printed PLA, two-piece (top + bottom case)
Dimensions~145 × 110 × 60 mm
Weight~520 g (excl. cameras)
MountingVESA-compatible base + robot-specific 3D adapters

Bill of materials

Every part is off-the-shelf. The case is 3D-printable from open STL/STEP files.

Qty
Item
Notes
Jetson Orin Nano 8GB Dev Kit
Sold separately (~$499 MSRP, NVIDIA, indicative only)
Intel RealSense D435i
Sold separately (~$350 each MSRP, Intel, indicative only)
12V DC-DC voltage converter
Buck converter, 5V/3A output
Barrel jack pigtail (5.5×2.1mm)
Power input
USB-A ↔ USB-C cable, 15 cm
Camera connections
Cat6 Ethernet cable, 30 cm
Robot interface
M3×10 thread-forming screws
Case assembly
M3 flat washers
Case assembly
Robot-specific
Mounting hardware
M6×30 (Unitree G1) · M3×30/M3×20 (Go2) · M4×35 (Tita) · custom for others

3D printing

Print the case yourself

The Mini case is two parts (top + bottom) that print on any FDM printer with a 220×220 bed. PLA is the default; PETG works for higher temperatures.

Download STL/STEP files →
FilamentPLA (PETG also works)
Layer height0.2 mm
Infill20–30%
SupportsTree supports (auto)
Print time~14 hrs combined (top + bottom)
Filament use~280 g
FilesSTL · STEP · 3MF — all open

100% open stack

Nothing is hidden

Every layer of the Mini is published. Hardware schematics, firmware, ROS2 stack, web dashboard, and demos — all under permissive licenses on GitHub. Fork it, audit it, ship a derivative.

Enclosure CAD

STL · STEP · 3MF — every part

CERN-OHL-S v2

Schematics + BOM

Power, cabling, mounts

CERN-OHL-S v2

Firmware

JetPack 6.2 image + first-boot scripts

MIT

ROS2 stack

Bringup, drivers, SLAM, Nav2

MIT (Apache for ROS deps)

Dashboard

Next.js web UI for teleop + missions

MIT

Demos

All Kinematics Lab demos

MIT

Software

Pre-loaded with OpenBrain

MIT-licensed edge stack: ROS2 Humble, RTABMap SLAM, Nav2 path planning, dual D435i drivers, teleop dashboard, mission planner, and a deployment hook into the OpenKinematics Model Hub. Auto-updates from GitHub.

ROS2 Humble

Distro

RTABMap

SLAM

Nav2

Path planning

OpenBrain UI

Next.js dashboard

Mounts to any ROS2 robot

Pre-built adapters for popular platforms. STEP files open for custom designs.

Unitree Go2 / Go2-W

Quadruped — 3D adapter included

Unitree G1

Humanoid — 3D adapter included

DirectDrive Tita

Biped — 3D adapter + custom DB25 cable

Custom robot

VESA base + open STEP files for adapter design

Order, or build it yourself.

Pre-order an assembled Mini from $1,499 (4–6 week estimated lead time, subject to component supply), or grab the STL/STEP files and BOM from GitHub and build your own.

Prices and specifications are indicative and subject to change without notice. Pre-orders submitted via the contact form are non-binding expressions of interest until expressly accepted in writing. The Kinematics Mini is intended for integration into robotic systems by qualified developers and integrators — the buyer is responsible for safety commissioning, risk assessment, and regulatory compliance for the resulting machine. Third-party MSRPs (NVIDIA Jetson, Intel RealSense) are illustrative, set by their respective manufacturers, and may change. NVIDIA, Jetson, Intel, RealSense, ROS, Unitree, and other third-party names are trademarks of their respective owners. See Terms, Disclaimer & Safety Notice.

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