This is the main conclusion of a study led by the ICM-CSIC recently published in the prestigious journal Science Robotics Currently, underwater robotics is emerging as a key tool for improving ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
What if robots could learn to adapt to their surroundings as effortlessly as humans do? The rise of quadruped robots, like Boston Dynamics’ Spot, is turning this vision into reality. By integrating ...
What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is embedded directly into physica ...
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 ...
Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive.
If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...
MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.
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 ...