Markus Bajones

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In this paper, we propose an efficient semantic segmentation framework for indoor scenes, tailored to the application on a mobile robot. Semantic segmentation can help robots to gain a reasonable understanding of their environment, but to reach this goal, the algorithms not only need to be accurate, but also fast and robust. Therefore, we developed an(More)
While navigation based on 2D laser data is well understood, the application of robots at home environments requires seeing more than a slice of the world. RGB-D cameras have been used to perceive the full scenes and solutions exist consuming extensive computing power. We propose a setup with two RGB-D cameras that covers the need for conflicting(More)
Service robots for the domestic environment are intended to autonomously provide support for their users. However, state-of-the-art robots still often get stuck in failure situations leading to breakdowns in the interaction flow from which the robot cannot recover alone. We performed a multi-user Wizard-of-Oz experiment in which we manipulated the robot’s(More)
This paper presents the behaviour control of a service robot for intelligent object search in a domestic environment. A major challenge in service robotics is to enable fetch-and-carry missions that are satisfying for the user in terms of efficiency and human-oriented perception. The proposed behaviour controller provides an informed intelligent search(More)
When interaction with robots, people's cultural background show an impact on the robot's expected behavior, depending on how common robots are in these cultures. Such impact is especially notable when a robot is not able to fulfill a task and needs support from a user. We report the results of an online-based survey, investigating the effect of cultural(More)
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