MIT Robotic Mini Cheetah
A real-life cheetah has no problems dashing across a rolling field or jumping over sudden gaps in the rugged terrain, but trying to replicate these movements with a robot isn’t the easiest of tasks. However, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) may have solved this issue with a new control system. Read more for a video and additional information.



This new control system for their robotic mini cheetah consists of two parts: one half processes real-time input from a video camera mounted on the front, while the second part translates that information into instructions for how it should move its body. The most important factor is that this control system does not require the terrain to be mapped in advance, so the robot can go anywhere.

LEGO MINDSTORMS Robot Inventor Building Set; STEM Kit for Kids and Tech Toy with Remote Control Robots; Inspiring Code and Control Edutainment Fun (949 Pieces)
  • With LEGO MINDSTORMS Robot Inventor (51515), kids gain essential STEM skills as they build, code and play with remote-control model robots and intelligent creations that shoot missiles, play ball, drive around and more!
  • With almost 1,000 pieces, including an intelligent Hub, 4 Medium Motors, Color Sensor and Distance Sensor with break-out interface, youngsters can also build their own fun robotic toys and share them online on LEGO Life
  • An easy-to-install rechargeable battery is included, so no need to go hunting for spare batteries when the fun’s about to start
  • Blast stands at over 14” (36cm) tall, while Gelo measures over 9” (24cm) long; The Powered Up components in this set are also compatible with the LEGO BOOST Creative Toolbox (17101), Droid Commander (75253) and others

MIT Robotic Mini Cheetah

In those settings, you need to use vision in order to avoid failure. For example, stepping in a gap is difficult to avoid if you can’t see it. Although there are some existing methods for incorporating vision into legged locomotion, most of them aren’t really suitable for use with emerging agile robotic systems,” said Gabriel Margolis, professor in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT.