This is the latest achievement published in the Science subjournal, Science Robotics, by research institutions including ...

The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...

In operation and maintenance, which accounts for the majority of research, IoT sensors and Digital Twins enable real-time monitoring of building systems. When coupled with AI, these technologies drive ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

A team of researchers from the University of Professional Studies, Accra, led by Dr Augustina Dede Agor, has completed one of the most detailed global reviews to date on the integration of artificial ...

Robots that plan in seconds, adapt on the fly and work in sync. This AI could change how factories run. Read more!

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

An AI tool called RoboBallet could transform manufacturing by letting robotic arms plan movements together at scale, boosting ...