Categories: AI/ML News

Built-in bionic computing

The use of pliable soft materials to collaborate with humans and work in disaster areashas drawn much recent attention. However, controlling soft dynamics for practical applications has remained a significant challenge. Researchers developed a method to control pneumatic artificial muscles, which are soft robotic actuators. Rich dynamics of these drive components can be exploited as a computational resource.

Robots play with play dough

The inner child in many of us feels an overwhelming sense of joy when stumbling across a pile of the fluorescent, rubbery mixture of water, salt, and flour that put goo on the map: play dough. (Even if this happens rarely in adulthood.) While manipulating play dough is fun and…

August 31, 2022

Discovering new solutions to century-old problems in fluid dynamics

We’re introducing a family of solutions to some of the most complex equations that describe fluid motion.

September 19, 2025

In "FAANG"

Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning

This paper was accepted at the workshop at "Human-in-the-Loop Learning Workshop" at NeurIPS 2022. Preference-based reinforcement learning (RL) algorithms help avoid the pitfalls of hand-crafted reward functions by distilling them from human preference feedback, but they remain impractical due to the burdensome number of labels required from the human, even…

December 1, 2022

In "FAANG"

AI Generated Robotic Content