1 citations · 2 across the 4 of their papers we have counts for
4 papers
Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers
Söhnke Benedikt Fischedick, Daniel Seichter, Benedict Stephan +2
In domestic environments, robots require a comprehensive understanding of their surroundings to interact effectively and intuitively with untrained humans. In this paper, we propos…
PanopticNDT: Efficient and Robust Panoptic Mapping
Daniel Seichter, Benedict Stephan, Söhnke Benedikt Fischedick +3
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…
Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
Dustin Aganian, Mona Köhler, Benedict Stephan +2
As collaborative robots (cobots) continue to gain popularity in industrial manufacturing, effective human-robot collaboration becomes crucial. Cobots should be able to recognize hu…
ATTACH Dataset: Annotated Two-Handed Assembly Actions for Human Action Understanding
Dustin Aganian, Benedict Stephan, Markus Eisenbach +2
With the emergence of collaborative robots (cobots), human-robot collaboration in industrial manufacturing is coming into focus. For a cobot to act autonomously and as an assistant…