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Mobile-robot technical dossier · 01

TurtleBot3: turning an open mobile robot into a reproducible navigation baseline

Connect the physical model, electronics, ROS packages, transforms, sensors, maps and navigation parameters without treating a successful tutorial as field-readiness evidence.

Evidence statusMaintained open reference platform · model- and distribution-specific performance · deployment evidence remains site-specificSources checked 4 August 2026
Read the engineering asset map ↓Back to mobile-robot references ↗

Identify the exact system first

A platform or software name cannot replace the exact robot, ROS distribution, map, parameters, sensors and power revision.

TurtleBot3 is ROBOTIS's small, customisable ROS education and research platform. Burger and Waffle Pi differ in dimensions, compute, sensing and payload; the exact model, ROS distribution, board revision and sensor set therefore belong in every result.

Engineering asset map

Put the base, controller, sensors, transforms, navigation software and site rules onto one system map.

01

Platform & mechanics

Publicly available

Burger and Waffle Pi specifications, Onshape CAD references, dimensions, chassis and modular mounting guidance.

Verify before adoption

Freeze model, CAD export revision, wheel geometry, mass distribution, payload, fasteners and every physical substitution.

02

Electronics & sensing

Publicly available

OpenCR, DYNAMIXEL drives, LDS lidar, SBC and interface documentation, with model-specific configurations.

Verify before adoption

Record board and sensor revisions, firmware, voltage, current budget, calibration, timestamps and mounting transforms.

03

ROS description & interfaces

Publicly available

Core TurtleBot3 packages plus messages, simulations and manipulation repositories across maintained ROS branches.

Verify before adoption

Pin ROS distribution, repository commits, URDF/Xacro output, TF tree, topics, QoS and dependency lock.

04

Mapping, navigation & simulation

Publicly available

Official SLAM and Navigation2 tutorials, Gazebo simulation models and example parameter files.

Verify before adoption

Revalidate maps, footprint, inflation, velocity, recovery, odometry and sensor assumptions on the actual robot and site.

Layered licence reading

Code, maps, CAD, firmware, board files and vendor documentation require layer-by-layer rights decisions.

Asset layerKnown statusAdoption decision
Core TurtleBot3 code

The primary repository identifies Apache-2.0.

Preserve notices, pin the branch and commit, and inspect related repositories independently.

CAD & documentation

Onshape models, manuals, images and downloadable files can carry platform- or file-specific terms.

Confirm export, modification, redistribution and attribution rights at the exact source asset.

Hardware & vendor components

Open reference files do not replace vendor terms for computers, sensors, batteries or DYNAMIXEL devices.

Track datasheets, firmware, warranties, trademarks, supply and regional compliance separately.

This table is a source-navigation and engineering-decision aid, not legal advice. Use original licence texts and qualified advice for an actual decision.

Navigation & deployment validation gates

From static interfaces to protected navigation and site acceptance, expand the operating envelope one controlled gate at a time.

  1. 01

    Configuration freeze

    Evidence to preserve

    Model, ROS distribution, commits, board/sensor revisions, firmware, URDF, parameters and as-built photographs.

    Stop condition

    Stop if documentation, software and the physical platform describe different configurations.

  2. 02

    Static interface validation

    Evidence to preserve

    Power budget, wheel direction, encoder scale, lidar alignment, TF consistency, clocks, topics and emergency-stop behaviour.

    Stop condition

    No autonomous motion with unresolved transforms, timing, odometry or stop behaviour.

  3. 03

    Protected mapping & navigation

    Evidence to preserve

    Declared map, footprint, speeds, obstacles, localization error, recovery events, collisions and complete logs.

    Stop condition

    Stop when localization or command behaviour leaves the supervised test envelope.

  4. 04

    Site-bounded task trial

    Evidence to preserve

    Route, traffic rules, surfaces, lighting, people/objects, trial count, interventions, charging and maintenance state.

    Stop condition

    A laboratory tutorial cannot support unattended, public-space or safety-critical deployment claims.

FUURAA analysis

Open technology matters when every operational claim can be traced and tested—not merely when the robot moves.

01

Best use

A transparent baseline for ROS education, mapping, navigation, fleet-interface experiments and reproducibility training.

02

Main risk

Familiar tutorials hide configuration drift: changing one sensor, board, ROS branch or parameter set can create a materially different system.

03

FUURAA judgement

Use TurtleBot3 to teach evidence discipline. The reusable product is the frozen configuration and test record—not the claim that the demo once completed a route.

Applicability boundary

An open platform and navigation stack can support research and prototypes; they do not automatically prove safe, reliable field operation.

Can support

  • ROS mobile-robot education and research
  • Protected mapping and navigation experiments
  • Configuration and deployment evidence training

This page cannot replace

  • Site-specific hazard and traffic assessment
  • Product durability, cybersecurity and functional safety
  • Evidence for unattended or public operation
Continue into the robot product development pathFrom configuration freeze and site validation to controlled release →