8 papers
EL3DD: Extended Latent 3D Diffusion for Language Conditioned Multitask Manipulation
Jonas Bode, Raphael Memmesheimer, Sven Behnke
Acting in human environments is a crucial capability for general-purpose robots, necessitating a robust understanding of natural language and its application to physical tasks. Thi…
Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation
Vitalii Tutevych, Raphael Memmesheimer, Luca Eichler +4
Reliable object perception is necessary for general-purpose service robots. Open-vocabulary detectors struggle to generalize beyond a few classes and fully supervised training of o…
OMCL: Open-vocabulary Monte Carlo Localization
Evgenii Kruzhkov, Raphael Memmesheimer, Sven Behnke
Robust robot localization is an important prerequisite for navigation, but it becomes challenging when the map and robot measurements are obtained from different sensors. Prior met…
Integration of the TIAGo Robot into Isaac Sim with Mecanum Drive Modeling and Learned S-Curve Velocity Profiles
Vincent Schoenbach, Marvin Wiedemann, Raphael Memmesheimer +2
Efficient physics simulation has significantly accelerated research progress in robotics applications such as grasping and assembly. The advent of GPU-accelerated simulation framew…
LIAM: Multimodal Transformer for Language Instructions, Images, Actions and Semantic Maps
Yihao Wang, Raphael Memmesheimer, Sven Behnke
The availability of large language models and open-vocabulary object perception methods enables more flexibility for domestic service robots. The large variability of domestic task…
Anticipating Human Behavior for Safe Navigation and Efficient Collaborative Manipulation with Mobile Service Robots
Simon Bultmann, Raphael Memmesheimer, Jan Nogga +2
The anticipation of human behavior is a crucial capability for robots to interact with humans safely and efficiently. We employ a smart edge sensor network to provide global observ…