THE VIDEO SHELF · micromouse robotics
The Fastest Maze-Solving Competition On Earth
Veritasium visits the Micromouse competition, where small autonomous robots race to solve mazes at extreme speed. It covers the competition's technical history, including fans and ground effect enabling very high-g turns.
Why HN readers recommended it
HN commenters point to it as a nice introduction to micromouse and maze-racing robots.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Veritasium
- Topic
- micromouse robotics
- Format
- documentary
- Level
- general
- HN recommenders in dataset
- 5
- HN mentions in dataset
- 5
- Recommendation years in dataset
- 2023–2024
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Cars designed for high speed will have a significant advantage over a motorcycle through capturing down forces to dramatically increase the amount of friction between the tires and the surface before losing grip and spinning out. Motorcycles can own the power to weight ratio category, …
tstrimple on Hacker News · 2023-09
In New world record with an electric racing car: From 0 to 100 in 0.956 secondsVeritasium did a video on Micromouse competition which also got the breakthrough via similar kind of technology (fan that sucks air from under the car) - [VIDEO] Interesting watch.
v512 on Hacker News · 2023-10
In 0 To 100 kph in 1 secondFor me it was the Veritasium Micromouse video[0]. Hard to quote the video but from wikipedia[1]:"Micromice are among the highest-performing autonomous robots." Things like fans and ground effect being used to make these devices do 6g turns while mapping and solving a maze. Alternately, the …
_carbyau_ on Hacker News · 2024-06
In Mitsubishi robot solves Rubik's Cube in 0.305s
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.