Robotics Development Platform

Design robots
in natural language.
Deploy to any fleet.

KinematOS IDE converts a plain-English description into a physics-validated, production-ready robot model. Export to URDF, SDF, or MJCF. Capture demonstrations, label training data, and deploy skills across your fleet — with full lineage from sensor to skill.

Try the Generator → See 6 Examples
kindly-ide.kinematos
// Describe your robot
robot "4-DOF arm with
  parallel gripper, base
  mount, 0.5m reach"

// AI validates physics, generates
// kinematics, checks collisions

✓ Kinematic chain validated
✓ Joint limits set: ±135°
✓ Inertial properties computed
✓ Collision model ready

// One-click export
export --format urdf
→ /output/4dof_arm.urdf

Every stage of the robotics development pipeline — connected, not cobbled together.

01

Describe

Type what you need in plain English. KinematOS generates the full kinematic chain, joint limits, and inertial properties — no manual modeling.

02

Validate

Physics linter catches impossible configurations before they reach a simulator. Test reachability, collision clearance, and workspace bounds in the IDE.

03

Export

Production-ready output in URDF (ROS), SDF (Gazebo), or MJCF (MuJoCo). Full mesh embedding and material preservation across all formats.

04

Deploy

Capture demonstrations, label data with the community, train skills, and push to your fleet. Full lineage tracking from raw sensor data to deployed skill.

Whether you're one researcher or a team shipping to production — KinematOS scales with you.

Natural Language Design

Describe actuator counts, link lengths, gripper types, mount configurations. The AI handles the geometry.

Physics Linter

Catch joint limit violations, impossible linkages, and workspace dead zones before simulation — in real time as you design.

One-Click ROS2 Builds

Behavior tree editor, launch file generation, and cross-compilation for embedded targets. Your robot code, built in one step.

Fleet Lineage Tracking

Every skill deployed tracks its origin: which demonstration, which labels, which model version. Auditable, reproducible, accountable.

Supported Exports

URDF (ROS/ROS2) SDF (Gazebo) MJCF (MuJoCo) COLLADA STEP → mesh

Verification Standards

  • Kinematic solvability
  • Workspace reachability
  • Collision geometry
  • Inertial validity
  • Joint limit compliance

Training Data Pipeline

  • Demonstration capture
  • Community labeling
  • Skill versioning
  • Fleet push (OTA)
Natural Language Input

"A 6-DOF robotic arm with a two-finger parallel gripper, mounted on a wheeled base. The arm should have a reach of at least 0.8m and operate in a home environment with humans and small pets nearby."

Generated Model Spec
BaseWheeled omni-directional, 0.4m/s max vel
Arm6-DOF serial, ±170° joints, 0.85m reach
End effectorParallel gripper, 40N clamp force
Payload1.2 kg continuous, 2.0 kg peak
SafetyFamily-Safe Mode: thermal + motion detection
FrameAluminum 6061-T6, IP54 rated
Est. cost$3,200 — $4,800 BOM
Open Infrastructure

The platform layer
the robotics industry needs

Robotics is fragmenting into a thousand incompatible stacks. Hardware vendors, simulation engines, foundation model providers — all fighting for control of the stack. KinematOS is the open platform layer that ties them together. You own your robot design; we make sure it runs everywhere.

35+ Open-source repos on GitHub
4 Export formats supported
100% Lineage traceability, sensor to skill
"Robotics won't have its ChatGPT moment until building a robot is as accessible as writing a prompt. We're here to make that happen — not by lowering standards, but by raising the tooling."

— Taylor Mohney, Founder