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 ...

Path #5 380.0 s Inertia identification Path #14 100.0 s Reference (no robot motion) (repeat with AOCS on) ...

The CROOS-CV 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 ...

Re-Enabling Robotics Verletzungen, Unfälle, Schlaganfälle und andere Krankheiten können die Fähigkeit, selbst die einfachsten Aktivitäten des täglichen Lebens auszuführen, erheblich beeinträchtigen.

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 maps that encode the ...

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 ...

Medical robotics supports the attending physician in complex procedures, for example in minimally invasive surgery, in order to be able to perform such interventions reproducibly, safely and gently ...

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.

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 ...

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 ...