Open engineering references · 03

Mobile robots, navigation & service bases

Connect chassis, compute, sensing, robot descriptions, mapping and navigation while keeping research demonstrations separate from safe operation in homes, factories and public environments.

Read the asset type first

Different files answer different questions; one cannot stand in for another.

01

Base & controller

Chassis CAD, wheel geometry, encoders, motor drivers, power and embedded control define mobility.

02

Description & transforms

URDF/Xacro, frames, sensor extrinsics and covariance connect hardware to localisation and planning.

03

Navigation

Mapping, localisation, costmaps, planners, controllers and recovery behaviour form a configurable system, not a single algorithm.

04

Deployment

Site maps, traffic rules, speed zones, human interaction, supervision and incident response determine operational safety.

Official and first-party project gateways

Every record states what is available—and what it still cannot prove.

Sources checked 4 August 2026. External projects change; confirm version, licence and maintenance status again at the original source before use.

01
ROBOTIS

ROBOTIS · TurtleBot3

Open original source
Available assets
  • ROS 2 packages and robot descriptions
  • Navigation, SLAM and examples
  • Official e-Manual and related simulation repositories
Licence status

Core repository is Apache-2.0; CAD, component documentation and related repositories must be checked at their own source.

Evidence maturity

Widely used education and research platform with active ROS branches

Useful for

Learn the complete path from a documented mobile base to ROS 2 navigation experiments.

Applicability boundary

Branch and ROS distribution compatibility matter. Tutorial success does not establish environmental robustness or public-space safety.

FUURAA analysis

TurtleBot3 is a good integration reference because hardware, descriptions and software are visible. Record the exact model and ROS branch before reproducing results.

02
Open Navigation LLC and ROS community

Nav2 · ROS 2 Navigation Stack

Open original source
Available assets
  • Planners, controllers and behaviour trees
  • Costmaps, localisation and lifecycle tooling
  • Setup, tuning and testing guidance
Licence status

Nav2 source packages use open-source licences; confirm each package and third-party plugin licence in the selected distribution.

Evidence maturity

Production-oriented open navigation framework; deployment assurance remains application-specific

Useful for

Structure and tune a ROS 2 navigation system for supported mobile platforms.

Applicability boundary

Nav2 does not supply the physical robot’s braking, sensor coverage, site rules or safety case. Parameters must be validated on the real base and environment.

FUURAA analysis

Treat navigation as a managed subsystem: version maps and parameters, log interventions, inject failures and verify bounded recovery.

03
ROBOTIS

ROBOTIS · OpenCR Hardware

Open original source
Available assets
  • Schematics and PCB Gerbers
  • Bill of materials
  • Firmware source links
Licence status

Repository publishes open hardware and software materials; verify the exact licence files, component rights and manufacturing obligations before redistribution.

Evidence maturity

Board-level reference used in TurtleBot3 and OP3 ecosystems

Useful for

Understand how an embedded controller, interfaces and open board files support a robot platform.

Applicability boundary

Gerbers and a BOM do not replace electrical compliance, supply-chain verification, production testing or firmware security review.

FUURAA analysis

A useful example of hardware openness, but a new product still needs revision control, approved substitutes, board bring-up tests and conformity work.

Before adoption

Move from ‘I found the files’ to ‘I know the next validation step’.

  1. 01

    Freeze the robot model, ROS distribution, package branches, maps, parameters and sensor calibration as one tested configuration.

  2. 02

    Measure stopping distance, localisation loss, obstacle coverage, network loss and recovery under realistic speed and payload.

  3. 03

    Define human right-of-way, speed zones, supervision and fallback for each operating site.

  4. 04

    Separate a laboratory navigation benchmark from evidence for homes, factories, roads or public venues.