CALCULATORS / ROBOTICS AND MANIPULATORS

Wheel odometry and error calculator

Differential-drive short-interval body displacement; no slip or pose integration.

robotics-odometry.napkin / editable
✓ checks pass

SCENARIO COMPARISON

Compare the numbers.

This source describes an analytical model. Its quantities and checks are the view.

Scenariodistancemheadingrad
0.110.0666667
0.10.133333

All calculated quantities are listed with the inputs. Switch to Source to inspect the equations.

SCENARIOS / CALCULATED VALUESSAME SOURCE

Change an input to see the consequences.

heading increment budget3.82 deg✓ passes

BASELINE INPUTS

CALCULATED

distance0.11 m
heading0.066667 rad

Edits change the baseline source.

Calculated from your source · not saved
Baseline · Baseline
heading increment budget3.82 deg ✓ passes
alternative · alternative
heading increment budget7.64 deg ✓ passes

Illustrative first-order example. Checks are editable requirements, not design standards. The broader topic may require additional equations, data, and validation.

Formula and units

This example uses the following equations. Input names and units match the editable source above.

distance
distance = (left+right)/2 [m]
heading
heading = (right-left)/track [rad]

Original worked example

These are the baseline values in the downloadable source. Edits above let you test your own values.

Given

left
0.1 m
right
0.12 m
track
0.3 m

Calculated

distance
0.11 m
heading
0.0666667 rad

Assumptions and limits

Differential-drive short-interval body displacement; no slip or pose integration.

The requirement checks use the limits written in this example. Passing a check does not establish that the model covers every load, material behavior, or operating condition in a real design.

Download this .napkin example ↓

Take it further with your agent

Napkin keeps the inputs, equations, checks and assumptions together in one study. Your agent sets it up; you change the numbers.

Try with Claude ↗

codex 'Use Napkin (https://napkin.engineering/mcp, or the local Napkin plugin) to build a study: Wheel odometry and error. Inputs: wheel counts; track width; wheel diameters. Outputs: pose increment; sensitivity to wheel mismatch. Model scope: Rigid links with explicit joints, loads and coordinate frames. Read napkin_capabilities and the current snapshot. Ask me for the values that matter, label assumptions with units, author .napkin source, validate it and apply it with napkin_source using the current revision, then open the study. Add checks for the limits I supply. Keep unsupported analyses explicit.'

Claude needs the Napkin connector; Codex needs the Napkin plugin. Set up your agent ↗

The broader study

The topic brief below describes the broader scope. The worked example above states the particular calculation it implements.

  • Inputs: wheel counts, track width, wheel diameters
  • Outputs: pose increment, sensitivity to wheel mismatch
  • Modes: calculate, compare, sweep
  • Drawing: Robot workspace and trajectory

EXECUTABLE WORKED EXAMPLE · FIRST-ORDER MODEL · CHECK THE SCOPE & ASSUMPTIONS

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