Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Researchers · RRT Path Planning

RRT Path Planning for a claw machine

Built for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model. Simulate a claw machine live below — adjust the inputs and watch it respond, right in your browser.

RRT Path PlanningLive

rapidly-exploring random tree

Controls

Presets

Step size

A Rapidly-exploring Random Tree grows toward random points in free space, quickly filling the map and snaking around obstacles to connect start (blue) to goal (yellow). It is a cornerstone of motion planning for robot arms, self-driving cars, and drones — fast even in high dimensions where grid search fails.

▶ Run in Python

Data Inspector

Tree nodes0

Path foundno

Path length0

Governing equation

x_{n e w} = x_{n e a r} + ε \frac{x _{r an d} - x _{n e a r}}{∥ x _{r an d} - x _{n e a r} ∥}, ε = 18, N = 0

Reading this result: No path yet at step 18 — the tree ran out of iterations before reaching the goal. Try Replan or a smaller step.

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

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Frequently asked questions

Is this good for researchers?: Yes — this version of "RRT Path Planning for a claw machine" is framed for researchers prototyping or validating an idea. Prototype fast, reproduce exactly, and share a citable, interactive version of your model.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.