Receding horizon trajectory optimization for optimal information gathering in opportunistic
navigation environments is considered. A receiver is assumed to be dropped in an …

The Volkswagen AutoUni offers scientists and PhD students of the Volkswagen Group the
opportunity to publish their scientific results as monographs or doctor's theses within the …

As robots operate in increasingly complex and dynamic environments, fast motion re-
planning has become a widely explored area of research. In a real-world deployment, we …

In active Visual-SLAM (V-SLAM), a robot relies on the information retrieved by its cameras to
control its own movements for autonomous mapping of the environment. Cameras are …

As robots are gradually leaving highly structured factory environments and moving into
human populated environments, they need to possess more complex cognitive abilities. Not …

A new navigation paradigm, termed opportunistic navigation (OpNav), has been proposed to
improve navigation robustness in Global Navigation Satellite Systems (GNSS)-challenged …

We propose a novel approach for automated vehicle motion planning systems that
introduces the likelihood of an information gain at future positions to trajectory optimization …

This chapter presents recent research results of our laboratory in the area of vision and
locomotion coordination with an emphasis on foveated multi-camera vision. A novel active …

One of the most challenging visions of contemporary robotics is to bring autonomous robots
into the real world and enable them to operate efficiently and safely in natural, populated …

In multi agent mobile robotic systems, coordinating the gaze of each autonomous robot
without the use of predetermined gaze attractors requires the sharing of either a gaze vector …