Service robots are envisioned to be adaptive to their working environment based on
situational knowledge. Recent research focused on designing visual representation of …

Constructing and serving knowledge graphs (KGs) is an iterative and human-centered
process involving on-demand programming and analysis. In this paper, we present Kyurem …

This study presents insights from interviews with nineteen Knowledge Graph (KG)
practitioners who work in both enterprise and academic settings on a wide variety of use …

Autonomous indoor service robots are affected by multiple factors when they are directly
involved in manipulation tasks in daily life, such as scenes, objects, and actions. It is of self …

The full-scale deployment of autonomous driving demands successful interaction with
pedestrians and other vulnerable road users, which requires an understanding of their …

Safety limitations in service robotics across various industries have raised significant
concerns about the need for robust mechanisms ensuring that robots adhere to safe …

Understanding manipulation scenarios allows intelligent robots to plan for appropriate
actions to complete a manipulation task successfully. It is essential for intelligent robots to …

The Robot Operating System (ROS) has become the most popular robot development
framework in the last few years, which has loosely coupled structure and provides remote …

Robots performing human-scale manipulation tasks require an extensive amount of
knowledge about their surroundings in order to perform their actions competently and …

Interpreting semantic knowledge describing entities, relations and attributes explicitly with
visuals and implicitly with in behind-scene common senses gain more attention in …