NASTY
THE QUEST FOR PRECIOUS
Help Nasty the Thief find the one thing its heart desires: the Precious. Build this Nasty little robot then help it navigate the robot Obstacle Course autonomously to find the Precious waiting at the finish line.
Help Nasty the Thief find the one thing its heart desires: the Precious. Build this Nasty little robot then help it navigate the robot Obstacle Course autonomously to find the Precious waiting at the finish line.
It’s a mad dash to save the frog eggs from the always-hungry Child. Bring Croaker the Frog to life, then use code to help it rescue precious (and delicious) future offspring. But hurry, you only have 2 minutes to move them all out of harm’s way.
Build your favorite little under-the-sea buddy: the one-and-only Krusty the KrabBot. Code it to stack a sponge all by its krusty self, then switch to TeleOperated mode where you’ll have 4 minutes to create as many sponge stacks as possible.
The Child is hungry and all of the octopi have escaped from the chowder! Help Iggy the Nursedroid round them up and wrassle them back in the bowl. The added challenge? You’ll be diving head first into a new text-based coding language, ROBOTC.
Norbert’s precious dragon eggs are stowed in chalices around the Battle Arena, and it needs your help returning them to the nest. Code a macro to round up all the chalices, grabbing the final chalice with the golden egg and bringing it with you as you lift off the ground and take flight!
Build this funky little “cottage elf” and code it to conquer the Robo-Wizard battle! Dorby must autonomously navigate the battlefield using a color sensor to sense the presence of the good wizards (green) and of the evil wizards (red).
Those pesky Orcs have infiltrated your green pastures, and your robot’s task is to autonomously navigate its way through the robot Maze, determining when it should turn left and when it should turn right, all whilst knocking each Orc to the cold hard ground.
Stay out of the way of this dreaded member of The Nine who won’t stop its autonomous hunt until it places The Ring on its tiny little hand. Dark Rider is a dangerous companion: a big step up in build, wiring, and code complexity (and epicness).
These are dark times, robot trainer. Robots and their sheep counterparts have become foe, and we need the help of robot Sting to cull the herd. Your challenge is to build this catapult robot to launch boulders and knock all those nasty sheepses from atop the city wall.
In the land where the shadows lie, one adventurous robot comes out of its hole to face the challenge of a lifetime… round up all of the nine rings, lift them high overhead, and drop them deep into the volcanic fires of Mount Doom.
In a faraway land, deep inside the caverns twisting through Lonely Mountain, a certain dragon’s nest seems a little too quiet, and far emptier than it should be. That mechanical dragon’s name is Smorg, and its precious eggs are in desperate need of rescue.
No berry is safe from being licked by the smooth, supple tongue of Yoshisaurus. How can one bot lick all the berries in the land? Well, it has a secret code ingredient--it uses a mysterious algorithm called P.I.D. to go where no robot has gone before.
Mamma mia! Our pal Speedy Luigi, a glorious double-reverse four-bar linkage (DR4BL) robot, must build a towering pipe to transport its pals to another dimension. And you must equip it with the sensors and complex code (inverse kinematics, merhaps?) to get the job done.
Protect your flesh! Snappy Piranha is on a rampage, navigating through The Maze and seeking out delectable flesh bits to capture. Time to abandon your moral compass, because you must assist Snappy Piranha in this sick (not in the good way) autonomous quest.
A certain robot suddenly finds itself with the ability to shoot fireballs at its enemies. But where should it aim? How should it collect fuel? That is up to you. You must build, wire, and code Blazin’ Mario to become the most efficient fireball shooter in the land.
You are about to bring together everything you have learned thus far in order to bring Baby Gregu to life. This ravenous bot wants, nay, needs the Macaroon in your hand--so much so that it will step on your heels to get it! How does it know to follow you? You’ll just have to build it to find out.
Surprise, surprise! The Child is hungry. And frog eggs are one the menu. Time to build, wire, and code Slinger--the speediest, holonomic-est robot in the land--in order to rapidly collect and shoot as many frog eggs as possible into the mouth of your hungry customer.
A precious Madhorn egg has been acquired! But where oh where is a safe place to keep it? The answer lies with JawiBot, who, at the press of a button, can climb any pole to safely stash the egg at the top. You must bring JawiBot to life and code it to climb to this eggs-cellent hiding place.
Your most challenging mission yet: you must create a robot that can (1) safely climb stairs so that it can (2) autonomously pass three security tests in order to breach an enemy starship. This is a high-stakes, accuracy-centric challenge, so tread carefully.
You are about to bring together everything you have learned thus far in order to bring Baby Gregu to life. This ravenous bot wants, nay, needs the Macaroon in your hand--so much so that it will step on your heels to get it! How does it know to follow you? You’ll just have to code it to find out, with a Raspberry Pi and OpenCV as your guides.
Given a complex maze of hallways, what is the shortest way through it? That’s a question that RatDroid, with the help of a Raspberry Pi, can answer. Tasked with mapping the fastest path to the exit, RatDroid must use an algorithm to chart its course, then pick up and deliver the Child to safety.
Poor R5-Sorter...fired for poor performance in a menial utility job, and no savings for retirement. Sounds like the perfect time for a career pivot! You must help this bot train for its new dream job of sorting cargo. It will take a lot (machine learning out the wazoo) but R5 is up for the challenge. Are you?
Once a century, a baby Madhorn hatches from its egg. It is up to you, robot trainer, to give the newest hatchling the code to teach itself to walk. Teaching a baby robot to teach itself is no easy task, but with the help of a fresh and spicy neural network, your Madhorn will be trotting ‘round the room in no time!