Live simulator
Maze Solver Robot Simulator for Flood-Fill Planning
Watch a robot map a whole maze — into every dead end and back — then flood-fill the shortest path and speed-run it.
- Flood fill
- Grid mapping
- Odometry
Interactive robotics projects, simulators & tutorials
Build, learn & simulate robotics projects
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.
- Simulators
- 09
- Disciplines
- 12
- Hardware needed
- 00
Same loop, every scale
Sense. Decide. Move. Repeat.
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 loopFeatured robotics simulators
Understand the engineering, inspect the algorithm, then experiment in the browser.
Turn PID theory into robot motion
Draw a custom track, reposition the sensor array, tune proportional, integral, and derivative gains, and read performance metrics in real time.
- Deterministic step execution
- Live sensor visualization
- Example tracks and freehand editing
Live simulator
Motion Profile Simulator: Trapezoidal and S-Curve
Drag distance, speed, acceleration, and jerk and watch both profiles re-plan the move live.
- Motion planning
- Trapezoidal profile
- Jerk limiting
Live simulator
Obstacle Avoidance Simulator for Mobile Robots
Compare sensing and steering rules for a mobile robot navigating around changing obstacles.
- Range sensing
- Reactive control
- Computer vision
Live simulator
PID Controller Simulator for Robotics Control Systems
See how each PID term changes rise time, overshoot, steady-state error, and control effort.
- PID
- Feedback control
- Signal sampling
Live simulator
Robot Arm Simulator for Kinematics and ROS Planning
Move a multi-joint robot arm, inspect its pose, and learn the geometry behind manipulation.
- Kinematics
- ROS 2
- Motion planning
Live simulator
Robot Sensor Simulator for Calibration and Sensor Fusion
Visualize noise, bias, sampling, filtering, and fusion before choosing sensors for a robot.
- Calibration
- Digital filtering
- Sensor fusion
Live simulator
Self-Balancing Robot Simulator: Inverted Pendulum PID
Drag a two-wheeled robot off balance and watch a cascaded PID loop catch it — or detune it and watch it fall.
- Cascaded PID control
- Complementary filter
- Inverted pendulum dynamics
Five kinds of page, and what each is for
You have just seen the simulators: the labs where an idea moves. Everything below is what they connect to.
09 projects
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 Line Follower Robot With an 8051 Microcontroller36 tutorials
Tutorials
One technique, start to finish: the theory, the working code, and the failure modes nobody warns you about.
Newest guide8051 Architecture: Pins, Memory Map, and Registers06 roadmaps
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 pathPath Planning and Mapping: Flood Fill to SLAM19 components
Components
The parts themselves: specs, wiring, what each one costs you in practice, and which builds depend on it.
Recently added8051 MicrocontrollerFrom first principle to working controller
Every project connects an observable experiment with the theory and implementation choices behind it.
- 01
Discover
Choose a robot behavior, platform, or engineering discipline.
- 02
Simulate
Change inputs, inspect system state, and test edge cases safely.
- 03
Build
Move from the visual model to algorithms, circuits, and hardware.
Robotics projects you can run in your browser
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.
Learn by doing, no hardware required
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.
Arduino, Raspberry Pi, and ESP32
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.
Robotics projects: frequently asked questions
Broader questions about the field (types of robots, where AI fits, who builds them) are on the robotics FAQ.
What is a robotics project?
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.
What are some beginner-friendly robotics projects?
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.
What are good robotics projects for students?
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.
How do I make a robotics 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.
Do these robotics projects include source code?
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.
Learn the system before buying the parts.
Browse complete project guides, compare simulator states, and build a reliable engineering intuition.
Browse robotics projects