Interesting Engineering on MSN
AI-trained quadruped robot walks rough, low-friction terrain without human input
A quadruped robot has learned to walk across slippery, uneven terrain entirely through simulation, ...
[Aditya Sripada] and [Abhishek Warrier]’s TARS3D robot came from asking what it would take to make a robot with the capabilities of TARS, the robotic character from Interstellar. We couldn’t find a ...
A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...
AI can help develop methods of locomotion that are unconventional but fast AI can help develop methods of locomotion that are unconventional but fast is a senior reporter who has covered AI, robotics, ...
Boasting a sophisticated design tailored for versatile mobility, Cassie demonstrates remarkable agility as it effortlessly navigates quarter-mile runs and performs impressive long jumps without ...
If you’ve ever taught a dog to sit or shake, you’re familiar with the concept of reinforcement learning. Positive reinforcement is when an animal—or a child, if you’re lucky—learns a desired behavior ...
Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...
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