Robohub.org
 

CSAIL shows off demos to 150 high-schoolers for “Hour of Code”


by
15 December 2015



share this:
Students watch CSAIL researchers show off a "garden" made of dozens of distinct origami robots that move and change color to demonstrate complex programming algorithms. Photo: Jason Dorfman/CSAIL

Students watch CSAIL researchers show off a “garden” made of dozens of distinct origami robots that move and change color to demonstrate complex programming algorithms. Photo: Jason Dorfman/CSAIL

By Adam Conner-Simmons | CSAIL

Last Friday, MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) hosted 150 local high school students for its second annual “Hour of Code” event, tied to the international initiative focused on getting kids interested in programming.

Researchers showed off robots, 3-D-printing technology, and other projects to math and computer science students from schools throughout the greater Boston area, including Cambridge, Charlestown, Roxbury, and Somerville.

The event also included a surprise video message from John Green, author of the bestselling young-adult novels-turned-movies “The Fault In Our Stars” and “Papertowns.” Green commended the students on participating the event and elaborated on why coding is important.

“I cannot emphasize enough how much I believe in learning computer science, not least because I am basically a first-grader when it comes to computer literacy,” Green said. “These days STEM education is vital to being able to understand the world around us and interact with it effectively.”

Among the projects on display were “MultiFab,” a 3-D-printer that can print using a record 10 different materials at once; Atlas, a 6-foot-tall, 400-pound humanoid robot that can open doors, climb stairs and drive a car; and a wireless device that can detect, track and identify individuals from the other side of a wall.

CSAIL Director Daniela Rus kicked off the event by inviting three graduate students to speak about how they got involved in programming and why coding is fun, exciting, and important.

“I like to think being able to code is sort of like having a superpower,” Rus said. “Researchers here can see through walls with wireless, create objects that nobody would have ever thought possible, and develop robots that shape-shift like Transformers and fly through trees at 30 miles per hour.”

To date approximately 150 million students have done an hour of programming as part of the Hour of Code, which was launched in 2013 by the organization code.org and takes place during Computer Science Education Week. Companies such as Apple and Microsoft have also jumped onboard with special programs, while last year U.S. President Barack Obama became the first sitting president to write a line of code.



tags: , , ,


MIT News

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Sony AI table tennis robot outplays elite human players

  22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.

AI system learns to keep warehouse robot traffic running smoothly

  20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.

Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker

  17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence