Meet Cheetah: MIT’s “Blind” robot that can climb stairs littered with obstacles

Total
0
Shares

Improved design may be used for exploring disaster zones and other dangerous or inaccessible environments.
MIT’s Cheetah 3 robot can now leap and gallop across rough terrain, climb a staircase littered with debris, and quickly recover its balance when suddenly yanked or shoved, all while essentially blind.

The 90-pound mechanical beast — about the size of a full-grown Labrador — is intentionally designed to do all this without relying on cameras or any external environmental sensors. Instead, it nimbly “feels” its way through its surroundings in a way that engineers describe as “blind locomotion,” much like making one’s way across a pitch-black room.
The Cheetah 3 can blindly make its way up staircases and through unstructured terrain, and can quickly recover its balance in the face of unexpected forces, thanks to two new algorithms developed by robot designer Kim’s team: a contact detection algorithm, and a model-predictive control algorithm.
The contact detection algorithm helps the robot determine the best time for a given leg to switch from swinging in the air to stepping on the ground. For example, if the robot steps on a light twig versus a hard, heavy rock, how it reacts — and whether it continues to carry through with a step, or pulls back and swings its leg instead — can make or break its balance.

Leave a Reply

Sign Up for Our Newsletters

Get notified of latest industry interviews and insights!

You May Also Like

AI is still democratic: Bunch of student coders beat Google’s machine learning code

Students from Fast.ai, a small organization that runs free machine-learning courses online, just created an AI algorithm that outperforms code from Google’s researchers, according to an important benchmark. But Fast.ai’s team built an algorithm that beats Google’s code, as measured using a benchmark called DAWNBench, from researchers at Stanford. This benchmark uses a common image […]
View Post