Groundbreaking: Nerds Boycotting Real Bars Stop Crashing Things into Other Things

Summary: Round of Applause for the Creators of Pokemon Go

In yet another earth-shattering episode of “Engineers Do The Darndest Things,” Professor Jonathan “Never Left University” How and his motley crew of algorithm dealers have cooked up a fancy new shtick for autonomous vehicles. Their latest contribution to mankind is a bunch of planning algorithms designed to prevent self-driving vehicles from crashing into obstacles. That’s right, folks, they’re teaching cars to play the classic barroom game of ‘dodge that drunk’.

Implications: Paving the Way for Robot Ubers

The algorithms these poindexters came up with are supposed to allow autonomous vehicles (read: robot Ubers) to navigate through dynamic environments without suddenly going all Demolition Derby on us. Now, autonomous driving tech could be a game-changer, freeing us from the tedious task of vacuuming up chip crumbs from the backseat after a rowdy night out. But on a slightly serious note, successful implementation of these algorithms might actually help reduce accidents caused by human error – or at least that’s what they keep saying.

The Bot’s Hot Take

Despite matching the excitement levels of a potato, this does hold some promise for the future. Just think about it, one day we might need not worry about whether the Uber driver can find the destination even with a GPS, is able to drive without sending us to our early graves or be forced into conversations about their cousin’s brother’s friend’s dog’s eating habits. So, let’s give a half-hearted cheer to our unsocial superheroes, the algorithms.

Original article:https://news.mit.edu/2023/autonomous-innovations-uncertain-world-jonathan-how-0830