How do I simulate an AGV?

Open this page and use the live Line-Follower Robot tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.

Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.

Can I use my own numbers?

Absolutely — every input is adjustable, and with data import you can drive an AGV from your own measurements.

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Line-Follower Robot for an AGV

Simulate an AGV live in your browser. This runs the real Line-Follower Robot solver — adjust the inputs, watch it respond instantly, and export the result. No install, no account.

For:Students Researchers Educators Engineers Hobbyists & Makers K-12 Students First Responders

PID Control

open full solver →

PID ControllerLive

step response tuning

Controls

Presets

Proportional Kp

Integral Ki

Derivative Kd

A PID controller drives a system to its setpoint using three terms: proportional reacts to the current error, integral eliminates steady-state offset, and derivative damps overshoot. Tuning the three gains trades off speed, overshoot, and stability — the workhorse of industrial control.

▶ Run in Python

Data Inspector

Overshoot0%

Settling time0.00 s

Steady-state error0.000

Governing equation

u (t) = 4.0 e (t) + 1.00 \int e d t + 0.5 \frac{d e}{d t}

Reading this result: Balanced gains — proportional for speed, integral to remove offset, derivative to damp overshoot: the textbook well-tuned response.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

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Differential Drive

open full solver →

Differential Drive RobotLive

wheel speeds → path

Controls

Presets

Left wheel speed

Right wheel speed

Speed1×

A differential-drive robot steers by spinning its two wheels at different speeds — like a tank. Equal speeds go straight, a difference curves the path, and opposite speeds spin in place. Its forward speed is the average of the wheels and its turn rate is their difference over the wheelbase.

▶ Run in Python

Data Inspector

Forward v2.50

Turn rate ω0.030

Turn radius83

Governing equation

v = \frac{v _{r} + v _{l}}{2} = 2.50, ω = \frac{v _{r} - v _{l}}{L} = 0.030

Reading this result: The faster right wheel pushes the robot into an arc that curves toward the slower left side, with radius set by how close the two speeds are.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

About this simulation

The full Line-Follower Robot tool models an AGV with the same numerics engineers and scientists use — running entirely client-side. Change any parameter and the result updates in real time, so you can build intuition, check a design, or teach the concept without spreadsheets or installs.

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Other ways to simulate an AGV

Forward Kinematics for an AGV Inverse Kinematics for an AGV Differential Drive for an AGV Cart-Pole Balance for an AGV Quadcopter Control for an AGV RRT Path Planning for an AGV

Frequently asked questions

How do I simulate an AGV?: Open this page and use the live Line-Follower Robot tool below — set your inputs and the simulation runs instantly in your browser using real numerics. No install, no account needed.
Is it free?: Yes. The simulation runs free in your browser. A one-time unlock or a Pro plan adds advanced parameters, saved presets, data import, and clean exports.
Can I use my own numbers?: Absolutely — every input is adjustable, and with data import you can drive an AGV from your own measurements.