For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

The 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025), one of the world's leading robotics ...

Reinforcement learning (RL) is transforming the way robots interact with the world. Unlike traditional programming or supervised learning, which depend on pre-defined ...

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 ...

Robot sporting events could become more common in the coming years. But how many of us will be tuning in to watch?

Progress in self-­driving cars and other forms of automation will slow dramatically unless machines can hone skills through experience. Inside a simple computer simulation, a group of self-driving ...

AgiBot has launched LinkCraft, the world’s first zero-code robot content creation platform for effortless humanoid robot ...

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 ...

Once upon a time, machine learning was an arcane field, the preserve of a precious few researchers holed up in grand academic institutions. Progress was slow, and hard won. Today, however, just about ...

Over the past two decades, humanoid robots have greatly improved their ability to perform functions like grasping objects and using computer vision to detect things since Honda’s release of the ASIMO ...