It seems that with our capture tool and docking technology as developed for ESS, we might create the first business case in on-orbit-servicing. Telecommunication satellites typically cost at least ...

Convolutional neural networks show remarkable results in classification but struggle with learning new things on the fly. We present a novel rehearsal-free approach, where a deep neural network is ...

We propose a novel, highly efficient sparse approach to region-based 6DoF object tracking that requires only a monocular RGB camera and the 3D object model. The key contribution of our work is a ...

Analysis and Control of Advanced Robotic Systems Autonomy and Teleoperation Autonomy and Teleoperation Perception and Cognition Perception and Cognition Cognitive ...

This dataset is intended to support and benchmark Computer Vision (CV) development for Close Range On-Orbit Servicing (CROOS). It is an representative image dataset for CROOS operations with distances ...

Viele ursprünglich für Weltraumanwendungen entwickelte Technologien, wie z.B. der DLR-Leichtbauroboter (LBR) oder Teleoperations- und Shared-Control-Verfahren, können auch im Gesundheitswesen ...

We present datasets of 2.5D elevation maps of planetary environment that were collected on Mt. Etna during the space-analogous ARCHES mission. In addition to the raw elevation maps, we provide cost ...

Hinter aller Wissenschaft stehen Menschen. Im DLR-Blog kommen die DLR-Forschenden selbst zu Wort, hochqualifizierte Fachleute, die für ihre Arbeit brennen. Sie gewähren einen Blick "hinter die ...

The use of some robot technologies originally developed for space applications is also possible in medical diagnostics and interventions. Medical robotics supports the attending physician in complex ...

We release a dataset recorded on the Moon-like environment of Mount Etna, Sicily, with a sensor setup that comprises a stereo camera, a LiDAR and an IMU. The dataset is intended to expose several ...

Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision. State-of-the-art approaches often rely on object texture to tackle this problem. However, while ...