Carnegie Mellon University

Carnegie Mellon Robotics Academy

Use educational affordances of robotics to create CS-STEM opportunities for all learners

New Resources for REV Robotics Classrooms and FTC Teams

May 08, 2023

Remake Learning Days 2023 Cobot Coding Games

By Jesse Flot

Remake Learning Days is an innovative learning festival for families and youth. Since it’s launch in 2016, Remake Learning Days has hosted 1200+ learning events reaching 150,000 families! 

As part of this year's festivities, we had the pleasure of presenting two of our CoBot Coding Games: Super Slime Battle and Acceleration City. Both games are freely available to play through our CS-STEM Network - read on to learn more!

Super Slime Battle 

In a world where every day is Halloween, the citizens of Booville are the best at being terrifying. The families of Booville take pride in their community, from making glorious candy crops and producing some of the stickiest slime around! There’s only one problem. 
ssb_1.png chrome_xddjvvefae.png
Every year the metal minions of Scarecorp try to steal your candy crops. Last year they succeeded, but this year, Booville is prepared. Booville High’s Baddest Slimeball crew have come together to protect the candy crops with slime weapons that gunk up their works. So get your crew and get ready to show Scarecorp and the Metal Minions that the only thing they’re getting this year is a slime bath. Players play teen monsters who program their cobot pets to help them take down the Minions of Scarecorp who are after their town's candy harvest. Choose between four different wild characters and their cobotic pets, each with their own unique slime weapon. 

Acceleration City

Welcome to Acceleration City, where fun is only limited by your drive! Explore a wild world filled with races and stunts in wacky terrain to collect Minanimals. So, get into gear, and work with your Cobot to stunt, collect and Accelerate! In Acceleration City, players choose from a wide variety of vehicles to complete races, collect Minanimals, and explore. 
This material is based upon work supported by the National Science Foundation under Grant Number 1906753.