2018 Japan Robotrace contest, 2nd prize L-sens01.1D, 11.480s

The whole length of the course is 31.7m, which means the average speed of L-sens01.1D would be around 2.76m/s. Check www.ntf.or.jp/mouse/micromouse... for the course configuration.

[@profeluish1991]

Que placa usan para la programación?

[@cyberbeefpv2810]

very nice!

[@user-cx6ei4py4p]

ピンクのプロペラがリボンみたいで可愛らしいです

[@haiderali-sk5zl]

how did they make it such precise.?

[@suhu9379]

Calculate the track position with analog values, and use feedback control in motion control.

[@izzytutor]

Whre i can buy this robot product?

[@e-clubmultimedia372]

I want to know what technologies they use in that car. Can someone tell me?

[@nocare]

They have multiple ir light sensor on the front U shaped bar with some ir leds. By seeing the difference in reflectivity of the light on black vs white you can tell where the white line is along the length of the bar. Also the little white squares around the track signal diffrent sections and so the location and upcoming track features can be known from that.
There are fans on top that give down force so the car can run fast, this one was about medium speed to medium-fast speeds.
Gyros and accelerometers can be used to increase the precision and speed further as feed back rates from the light sensing equipment can be too slow at times.
The simplest algorithms simply keep the white line centered along the bar and it actually only requires 2 sensors to do that and follow a line like this. Its often the first thing done by middle and high school level robotics classes.
More advanced cars like these can have dozens of sensors because it allows a higher resolution in both determining the shape and location of the line relative to the car.
NOTE: I am writing this as a roboticist and not someone who ever participated in this level of line follower competition. So I am guessing at some parts rather than looking up the exact details. Mostly I am unsure how many ir sensors they use as it appears only 3 are needed but I might use at least 5 if I were to design one.

[@andreduenas4402]

can you give some guide about programming this kind of robotics?

[@kampfret]

2:03 I feel sad too 😟

[@jyotishmanbharali3757]

Can I contact the competitors

[@suhu9379]

Of course you can. But I don't know his e-mail address or facebook name.

[@chandrakantarya6398]

Not sure why I am here after watching dance shows

[@mikew8983]

If only Osu was this easy