From the 1 of 13 linked papers with an AI index.
13 papers
ContactFlow: A video action conditioning that transfers across embodiments
Sami Azirar, Enrico Pallotta, Jan Nogga +3
The paper introduces Contact Flow, an embodiment‑agnostic representation that encodes manipulation as the trajectory of 3D contact points, enabling a video‑based world model traine…
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…
Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking
Bastian Pätzold, Jan Nogga, Sven Behnke
Vision-language models (VLMs) excel in visual understanding but often lack reliable grounding capabilities and actionable inference rates. Integrating them with open-vocabulary obj…
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…