BARQ
BARQ · boot0%

BARQ — Quadruped Robotics

01 — Quadruped Platform

Unit 01 · in development

A custom quadruped, engineered from scratch — mechanical design, electronics, kinematics and software. Not a kit, not a commercial robot.

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Twelve degrees of freedom

Four legs, each a three-joint serial chain — hip, upper leg and lower leg. The whole mechanical hierarchy lives in a single URDF the browser assembles in real time, joint limits and all: the same file that drives simulation.

One file,every joint

Forward kinematics · three angles per footp = f(θ₁,θ₂,θ₃)

Twelve joints, one control path

Each joint is a DS3240MG high-torque digital servo driven over PWM through a PCA9685. A calibration pipeline and joint-level abstraction mean every servo is commanded the same way — pose and gait targets, never raw pulses.

Commanded,not pulsed

12-bit PWM · 4096 steps per channelθ = k·(t − t₀)

Designed to be iterated

Every structural component was modelled in Fusion 360 and optimised for printing, modularity and maintenance. The central body carries compute, IMU and power distribution — a platform built to be taken apart and improved.

Built tocome apart

04 · Teardown

The Split.

Scroll to pull BARQ apart, component by component. Hover any part for its engineering spec.

Chassis

Structure

01

Coxa · Hip

Actuation

02

Femur

Kinematics

03

Tibia + Foot

Contact

04

Handles extremes with ease

Twelve digital servos under continuous load generate real heat, and heat is what limits how long a legged robot can actually walk. Duty cycle, gait choice and rest posture are thermal decisions before they are motion decisions.

Thermodynamicstability

Servo thermal model · a visualisation, not a warrantyTj = Ta + P·Rθ

07 · Engineering Pipeline

From CAD to hardware.

The path every capability takes — modelled, described, simulated, then proven on the physical robot. Autonomy is the next stage, not a current claim.

  1. 01

    Mechanical CAD

    Full robot modelled in Fusion 360.

  2. 02

    URDF Generation

    CAD exported to a URDF — the single source of truth.

  3. 03

    Simulation

    Kinematics validated in Webots and the web viewer.

  4. 04

    Visualization

    Live 3D visualization and debugging tools.

  5. 05

    Electronics

    Jetson, PCA9685, power and sensors integrated.

  6. 06

    Calibration

    Per-servo zeroing and joint-level abstraction.

  7. 07

    Motion Development

    Forward / inverse kinematics and pose control.

  8. 08

    Hardware Validation

    Poses and stances verified on the real robot.

  9. 09

    Autonomous Behaviours

    Planned

    Navigation and perception — planned.

08 · Technical Highlights

Why it’s built the way it is.

Twelve deliberate decisions — from the URDF single-source-of-truth to real hardware validation.

01

12 DOF Architecture

Three joints per leg give each foot full 3D placement for legged locomotion.

02

Custom URDF

One description drives simulation, visualization and control — no drift between them.

03

Jetson Compute

Edge GPU headroom so perception and control live on the robot, not a laptop.

04

Integrated IMU

Orientation feedback is the foundation for balance and closed-loop motion.

05

LiDAR Ready

360° ranging is on-board so mapping can be developed without new hardware.

06

Vision Ready

CSI cameras are wired in for future detection and visual SLAM.

07

3D-Printed Chassis

Printed parts make every link cheap to iterate and easy to repair.

08

Fusion 360 Design

Parametric CAD keeps the mechanical design modular and revisable.

09

ROS Compatible

Standard middleware so the stack can grow into the wider robotics ecosystem.

10

Simulation Pipeline

Motion is proven in simulation before it ever touches a servo.

11

Modular Electronics

PCA9685 + isolated power let subsystems be swapped independently.

12

Real Hardware Validation

Every capability is tested on the physical robot, not just on screen.

09 · Hardware

Every subsystem, integrated.

Compute, actuation, power and sensing — real components wired together on a custom platform. 'Integrated' runs today; 'Ready' is on-board with its software still in development.

ComputeNVIDIA Jetson Orin Nano

On-board Linux computer. Chosen so ROS, computer vision and future autonomy can all run on one edge platform instead of a tethered PC.

integrated
IMUHW-290

Body-orientation sensing for balance and stabilization — the feedback source for future closed-loop locomotion.

integrated
Actuation12 × DS3240MG

High-torque digital servos — three per leg. Every joint shares one calibrated control path so poses and gaits are reproducible.

integrated
Power4S LiPo · 6400 mAh

A dedicated high-current buck converter feeds the servo rail so twelve simultaneous actuation loads don't brown out the compute.

integrated
Servo DriverPCA9685

16-channel, 12-bit PWM controller over I²C. It off-loads precise pulse timing so the Jetson issues joint targets, not waveforms.

integrated
Structure3D-printed · Fusion 360

Custom structural parts modelled in Fusion 360 and printed. Designed for modularity, easy maintenance and rapid iteration.

integrated
LiDARYDLIDAR G2

360° 2D ranging on-board and wired in — targeted at mapping and environment perception as the navigation stack comes online.

ready
VisionIMX219 CSI

CSI camera input for the vision subsystem — the entry point for future object detection and visual SLAM.

ready

10 · Software Stack

A modular stack.

Python services on ROS drive the control layer; a URDF describes the robot for both simulation and visualization. Each layer is independent, so kinematics, sensing and perception can evolve on their own.

Motion & Kinematics
Sensing
Runtime
Description & Sim
Inverse Kinematics
FSM Gait Control
IMU Stabilization
OpenCV Vision
ROS
Python Services
URDF Model
Webots · Isaac (planned)

11 · Capabilities & Roadmap

What works today. What comes next.

This platform is a work in progress. Everything on the left runs on the robot now; everything on the right is planned engineering, stated as such.

Available now
  • Stable standing
  • Inverse kinematics
  • Body pose control
  • Servo calibration
  • Real-time visualization
  • Modular software architecture
  • Sensor integration
  • Simulation compatibility
On the roadmap
  • Dynamic walking
  • Improved gait generation
  • Closed-loop balance
  • Terrain adaptation
  • Autonomous navigation
  • SLAM
  • Computer vision
  • Obstacle avoidance
  • Mission planning
  • AI-assisted locomotion
  • Sim-to-real workflow
  • Edge AI perception