Semantic scene understanding is essential for mobile agents acting in various
environments. Although semantic segmentation already provides a lot of information, details …

As the application scenarios of mobile robots are getting more complex and challenging,
scene understanding becomes increasingly crucial. A mobile robot that is supposed to …

In an aging society, efficiently organizing care taking tasks is of great importance including
several players (here referred to as caregivers) like relatives, friends, professional …

With the continuous development of robotics and computer vision technology, mobile robots
have been widely applied in various fields. In this process, semantic maps for robots have …

Robots require a semantic understanding of their surroundings to operate in an efficient and
explainable way in human environments. In the literature, there has been an extensive focus …

In an aging society, the social needs of older adults, such as regular interactions and
independent living, are crucial for their quality of life. However, due to spatial separation …

To enhance positioning accuracy and ensure long-term stability in large-scale indoor
environments, this paper presents a robust particle filtering method that integrates IMU …

In the context of collaborative robotics, handing over hand-held objects to a robot is a safety-
critical task. Therefore, a robust distinction between human hands and presented objects in …

Autonomous service robots assisting in homes and institutions should be able to store and
retrieve items in household furniture. This paper presents a neural network-based computer …

Representing the 3D environment with instance-aware semantic and geometric information
is crucial for interaction-aware robots in dynamic environments. Nonetheless, creating such …