Co., Ltd. submitted a patent application titled "A Multi-Robot Collaborative Scheduling Method Based on Reinforcement Learning," which is set to be disclosed in May 2025. This marks the company's ...

Motion control of humanoid robots is becoming the next hot research area for the application of reinforcement learning (RL) ...

A future generation of robots will not be programmed to complete specific tasks. Instead, they will use A.I. to teach themselves.

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

A team of researchers from NVIDIA, ETH Zurich, and the University of Toronto open-sourced Orbit, a simulation-based robot learning framework. Orbit includes wrappers for four learning libraries, a ...

Smart glasses provide scalable training data compared with static cameras. Robots learn manipulation tasks directly from ...

This article is part of the TechXchange: ROS: Robot Operating System Members can download this article in PDF format. What you’ll learn: ROS 2 is built on the DDS framework, but it uses only a ...

Robot “training academies” could help industrial robots learn to perform complicated tasks by watching a human do them first.