Reactive Navigation: Teach a Robot to Avoid Obstacles
You can make a robot sense obstacles and decide where to go on its own—no map, just clean sensing and a behaviour loop.
Reactive navigation is the first way most robots learn to get around: instead of holding a map and planning a route, the robot simply reacts to what its sensors report right now. Sense the space ahead, decide, move, and repeat, many times a second. It is cheap, robust, and enough to let a robot wander a cluttered room without hitting anything—the behaviour behind every beginner obstacle-avoiding robot.
This path builds that skill one layer at a time. You start by turning a raw ultrasonic ping into a distance you can trust, then learn why sensor readings jump and how to filter them. You compare ultrasonic against laser time-of-flight so you know which sensor lies to you and when, add a servo scan so the robot can see which way is open, wrap the whole thing in a behaviour state machine, and finish by tuning the complete loop in a simulator.
Follow the nodes in order—each unlocks the next once you have done it, and your progress saves on this device. When you are ready to build the real thing, this path feeds straight into the obstacle-avoiding robot project.
Learning roadmap
The path
Follow the nodes in order—each unlocks the next once you have done it. Your progress saves on this device.
0 / 9 done