Embodied AI agents that search for objects in large environments such as households often
need to make efficient decisions by predicting object locations based on partial information …

The vision of the RoboEarth project is to design a knowledge-based system to provide web
and cloud services that can transform a simple robot into an intelligent one. In this work, we …

Semantic maps augment metric-topological maps with meta-information, ie l semantic
knowledge aimed at the planning and execution of high-level robotic tasks. Semantic …

One of the big challenges in robotics is the generalization necessary for performing
unknown tasks in unknown environments on unknown objects. For us humans, this …

In this article, we presents an effective semantic grounding scheme to long-term mobile
robots for dynamic object search in open/dynamic home environments. The challenge of this …

This paper presents a novel approach that exploits semantic knowledge to enhance the
object recognition capability of autonomous robots. Semantic knowledge is a rich source of …

We propose an approach for instructing a robot using natural language to solve complex
tasks in a dynamic environment. In this study, we elaborate on a framework that allows a …

Autonomous robots often require domain knowledge to act intelligently in their environment.
This is particularly true for robots that use automated planning techniques, which require …

We present KnoWDiaL, an approach for Learning and using task-relevant Knowledge from
human-robot Dialog and access to the Web. KnoWDiaL assumes that there is an …

Artificial intelligence (AI) reasoning technology involving, eg, inference, planning, and
learning, has a track record with a healthy number of successful applications. So can it be …