Self-directed learning is coming up in more conversations among educators—and for good reason. When students have greater ownership of their work, something meaningful occurs. Engagement increases.

Constraining policies to select behavior modules allows reinforcement learning transfer from simulation to real robot swarms.

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

To whom does the credit for work accomplished together belong? This question can quietly create cracks in even the closest of ...

The content conveyed by these two sentences is exactly the same. Yet, when people hear these two, they make completely ...

A new editorial in Frontiers in Control Engineering surveys how game theory, graph neural networks, and heterogeneous robot ...

You will be redirected to our submission process. Physically embodied robots are increasingly expected to perform tasks alongside people and to interact with objects, tools, and complex environments.

A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 percent accuracy.