Coverage Path Planning Simulator for Robot Vacuums
Watch three floor-covering strategies race the same room, measured against a perfect sweep.
- Coverage path planning
- Boustrophedon decomposition
- Random walk coverage
Interactive robotics projects, simulators & tutorials
Run a robot in the browser until the idea clicks, then follow the build: wiring, parts and source code for Arduino, ESP32 and Raspberry Pi. No hardware, no account, nothing to install.
Same loop, every scale
An assembly-line arm, a warehouse rover and a humanoid all run the same loop: read a sensor, compare it to a target, drive an actuator, read again. Change the hardware and the loop stays. That loop is what every simulator on this site lets you hold in your hands.
Start with the control loopUnderstand the engineering, inspect the algorithm, then experiment in the browser.
Draw a custom track, reposition the sensor array, tune proportional, integral, and derivative gains, and read performance metrics in real time.
Watch three floor-covering strategies race the same room, measured against a perfect sweep.
Watch a robot map a whole maze — into every dead end and back — then flood-fill the shortest path and speed-run it.
Strafe a square, lose the floor, and watch the odometry lie about it.
Drag distance, speed, acceleration, and jerk and watch both profiles re-plan the move live.
Compare sensing and steering rules for a mobile robot navigating around changing obstacles.
Two path-following controllers on one course, with the lag that makes tuning matter.
See how each PID term changes rise time, overshoot, steady-state error, and control effort.
Move a multi-joint robot arm, inspect its pose, and learn the geometry behind manipulation.
Find the gap between dropping it and crushing it, and watch a stiff finger close it.
Visualize noise, bias, sampling, filtering, and fusion before choosing sensors for a robot.
Drag a two-wheeled robot off balance and watch a cascaded PID loop catch it — or detune it and watch it fall.
Push a stepper until it loses sync, and watch the lag angle that decides when it does.
You have just seen the simulators: the labs where an idea moves. Everything below is what they connect to.
15 projects
A complete build, sequenced. Every part, tutorial and simulator it needs, arranged as a tree that ends in a working robot.
Newest buildBuild a Pick-and-Place Robot That Knows It Missed62 tutorials
One technique, start to finish: the theory, the working code, and the failure modes nobody warns you about.
Newest guideFriction, Force Closure and Why Two Contacts Is a Bet11 roadmaps
A skill rather than a robot. Follow one to go deep on control, navigation or vision, in the order the ideas actually build.
Newest pathGrasping and End Effectors: Actually Pick It Up25 components
The parts themselves: specs, wiring, what each one costs you in practice, and which builds depend on it.
Recently addedServo GripperEvery project connects an observable experiment with the theory and implementation choices behind it.
Choose a robot behavior, platform, or engineering discipline.
Change inputs, inspect system state, and test edge cases safely.
Move from the visual model to algorithms, circuits, and hardware.
Every robotics project here starts as something you can run. Draw a line-following track and watch the sensor array read it, tune a PID controller until the overshoot disappears, or let a maze robot plan its route a cell at a time. Then move to real code and circuits once the mechanism is obvious. The lab and the explanation sit on the same page deliberately: an idea you have already watched behave is much harder to forget.
Most beginners stall in the same place. You need motors, sensors, a board and a bench before anything moves, and one wiring mistake costs a weekend. Each simulator here is a real, deterministic model you drive in the browser, so a differential-drive robot, a reflectance sensor array or a two-link arm's reachable workspace makes sense before you have spent anything. It is also the honest order: hardware punishes you for misunderstanding the control loop, so it is worth understanding first.
Real robots run on real boards, so every concept maps onto hardware you can buy: line following and PID motor control on an Arduino, reactive obstacle avoidance on a Raspberry Pi, a flood-fill maze runner on an ESP32. The tutorials cover choosing between them too: when an 8-bit microcontroller is genuinely enough, and when you need a full Linux computer. Each project page carries the source code, a wiring diagram and a component list, so the thing you tuned in the browser is the thing you build.
Broader questions about the field (types of robots, where AI fits, who builds them) are on the robotics FAQ.
A robotics project is a hands-on build that combines sensing, decision-making, and movement to make a machine perform a task, such as a line-following robot, an obstacle-avoiding rover, or a robotic arm. A good project links the theory (sensors, control, algorithms) to real code and hardware. On Robotics Project Hub every project begins as an interactive browser simulator, so you understand the mechanism before you build it.
Strong starting projects include a line-following robot, a PID speed or heading controller, an ultrasonic obstacle-avoidance rover, and a simple sensor-filtering experiment. They teach the core ideas of sensing, feedback control, and motor drive without complex hardware. You can try all of them as free simulators here before wiring anything up.
Match the project to your level: line following or PID control for beginners (around class 7 to 10), maze solving or obstacle avoidance for intermediate students, and inverse kinematics, SLAM, or a ROS 2 differential-drive robot for final-year work. Each guide here explains the theory, algorithm, and wiring, so it works for a class assignment or a capstone project.
Start from the behavior you want (follow a line, avoid obstacles, solve a maze), learn the sensing and control loop behind it, then implement it in code and hardware. A reliable path is to simulate the idea, tune it, then move to an Arduino, ESP32, or Raspberry Pi build. Every project here pairs an interactive simulator with the algorithm, example source code, and a wiring diagram to follow.
Yes. Each project page includes example source code (Arduino/C++ or Python) alongside the theory, a downloadable wiring diagram, and a component checklist. The browser simulators use the same control logic, so the behavior you tune in the simulator maps directly onto the code you run on hardware.
Browse complete project guides, compare simulator states, and build a reliable engineering intuition.
Browse robotics projects