5 accepted papers
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 operate autonomously in indoor environments must have precise knowledge about what objects are present, where they are, what th…
Automated grasping of arbitrary objects is an essential skill for many applications such as smart manufacturing and human robot interaction. This makes grasp detection a vital skill for automated robotic systems. Recent work in model-free grasp detection uses point cloud data as input and typically…
Automated driving requires highly precise and robust vehicle state estimation for its environmental perception, motion planning and control functions. Using GPS and environmental sensors can compensate for the deficits of the estimation based on traditional vehicle dynamics sensors. However, each ty…
Due to recent deep learning techniques, person detection seems to be solved in the computer vision domain, however, it is still an issue in mobile robotics. On a robot only limited computing capacities are available. The challenge gets even more difficult when operating in an environment, with peopl…
This paper presents the results of the German research project SYMPARTNER (4/2015 - 6/2018), which aimed at developing a functional-emotional, mobile domestic robot companion for elderly people. The paper gives an overview of the developed robot, its system architecture, and essential skills and beh…