Robotics Software Engineer student Matthew DeHaven’s code runs our 2-D maze in the best time of 59.1 seconds.
The results are in! Matthew DeHaven, a current Robotics Software Engineering Nanodegree program student, has taken first place in the KUKA Robotics Challenge. This former graduate of Udacity’s Self-Driving Car Engineer Nanodegree program will head to Munich next month to visit the KIT Robotics Lab in Karlsruhe (where his winning submission was run), and also attend the NVIDIA GPU Technology Conference.
Matthew was one of only a small handful of students to successfully pass the challenge simulator during the contest portion, and he had the both the fastest time on the simulator (36 seconds) and on the actual KUKA robotics arm in the lab (59.1 seconds).
You can see his winning submission below:
Win a week-long, all-expenses paid trip to Germany to visit the new KUKA Udacity Learning Lab at KIT. Plus, attend the NVIDIA GTC Conference in Munich. Enter the KUKA Robotics Challenge today!
Announcing the KUKA Robotics Challenge!
Today, we’re excited to announce a new challenge developed in collaboration with two valuable partners of our Robotics Software Engineer Nanodegree program—KUKA, and the Karlsruhe Institute of Technology (KIT). It’s the KUKA Robotics Challenge, and you are invited to enter the challenge today!
Udacity, KUKA, and KIT have partnered to develop an innovative new way for Robotics Software Engineer Nanodegree program students to remotely run their code on a robotic arm
At Udacity, partnerships help make extraordinary opportunities available for our students. Our partnership with KUKA and the Karlsruhe Institute of Technology (KIT) will make it possible for students in our Robotics Software Engineer Nanodegree program to remotely run their code on a robotic arm. The result is that our graduates will enter the robotics job market with a unique combination of practical experience in both software and hardware.
Through the partnership, our students will be able to write code, test their code in simulation, then watch as their code is deployed to a real industrial robot, in a real lab, via video feed.
Learn what the Mars InSight lander is, how it works, and how the skills you learn in the Robotics Software Engineer Nanodegree program can be applied to a project just like this!
In the 1960s, NASA inspired people all over the world to pursue STEM education. The historic lunar landings marked the beginning of an incredible journey of innovation that continues today. NASA remains a pioneer in robotics technology, and this past weekend they reached another milestone when they launched the Mars InSight lander from California—the first interplanetary mission from the West Coast! (I attended the launch in person, and you can read about my experience here!) Despite the foggy day, the launch was an awe-inspiring event, and I am still marveling that humans were able to engineer this giant rocket to make this incredible journey.
Have you ever wanted to apply your skills to a robot that will inhabit another planet?
It’s not as far-fetched as it might sound, and NASA is showing us it can be done. And I can tell you that the skills you need are being taught right here at Udacity. This article covers what the Mars InSight lander is, how it works, and how the skills you learn in the Robotics Software Engineer Nanodegree program can be applied to a project like this!
Udacity’s Robotics and AI teams present “Learning Robotics on the Jetson TX2”—an opportunity to build a robot, and use reinforcement learning to make it perform!
Members of Udacity’s Robotics and AI teams were invited to present a session at NVIDIA’s GPU Technology Conference on Wednesday. The session, entitled “Learning Robotics on the Jetson TX2,” provided attendees with the opportunity to actually wire up and run a real robot! Here’s the official session description:
Learning Robotics on the Jetson TX2
Are you ready to learn how to use your Jetson TX2 for robotics applications? Join AI and Robotics instructors from Udacity in this lab which will teach you how to get started using your TX2 to apply AI to your robotics application. You will get the chance to build a simple “Lights Out” robot that will use reinforcement learning to push buttons and turn out corresponding LEDs. We will cover how to wire up, program, and run the robot. Additionally, we will discuss the basics of applied reinforcement learning.
Udacity welcomes NVIDIA as a new robotics curriculum partner and introduces an education discount for the Jetson TX2!
Teaching robotics is one of the most exciting, inspiring, and challenging endeavors we are currently engaged in. The space is constantly evolving, new innovations emerge with dazzling frequency, and the range of potential applications grows ever wider and more remarkable.
Creating, maintaining, and advancing a curriculum that mirrors in every way the dynamism of this space is both our passion and our mission, and to consistently achieve our goal of ensuring that every student masters the most valuable and most cutting-edge skills, we strive to be agile enough to leverage and incorporate new opportunities virtually the moment they appear.
Exactly this kind of opportunity recently materialized, and we are now thrilled to introduce the NVIDIA Deep Learning Institute (DLI) as a curriculum partner for Term 2 of our Robotics Software Engineer Nanodegree program!