How AI can understand and navigate the physical world
Researchers are developing computational methods to help artificial intelligence understand spatial relationships and solve real-world navigation problems. The work matters to businesses building autonomous systems, robotics, and location-based services—making AI smarter about how it interacts with physical space.
Originaltitel: Representing and solving spatial problems
<p>Everyday life unfolds in both space and time, with our spatial experiences playing a central role in our interactions with the world. To grasp human cognition, it s essential to understand how we perceive spatial relationships and tackle spatio-temporal challenges. Over the past few decades, research in spatial cognition has made significant strides, particularly in developing computational methods for knowledge representation and reasoning. This special issue explores various approaches to formalizing, implementing, and automating solutions for spatial problems. In this introduction, we provide a current literature review to contextualize the three contributions featured in this issue.</p>