25 citations · 40 across the 9 of their papers we have counts for
9 papers
SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
Melanie Neubauer, Christian Rauch, Gerald Koinig +3
This dataset provides high-resolution, annotated video sequences of shredded E40-grade steel and copper scrap on a conveyor belt. Captured in a controlled laboratory environment, t…
PASTA: Vision Transformer Patch Aggregation for Weakly Supervised Target and Anomaly Segmentation
Melanie Neubauer, Elmar Rueckert, Christian Rauch
Detecting unseen anomalies in unstructured environments presents a critical challenge for industrial and agricultural applications such as material recycling and weeding. Existing…
SIL: Symbiotic Interactive Learning for Language-Conditioned Human-Agent Co-Adaptation
Linus Nwankwo, Bjoern Ellensohn, Christian Rauch +1
Today's autonomous agents, largely driven by foundation models (FMs), can understand natural language instructions and solve long-horizon tasks with human-like reasoning. However,…
RGB-D-Inertial SLAM in Indoor Dynamic Environments with Long-term Large Occlusion
Ran Long, Christian Rauch, Vladimir Ivan +2
This work presents a novel RGB-D-inertial dynamic SLAM method that can enable accurate localisation when the majority of the camera view is occluded by multiple dynamic objects ove…
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
Christopher E. Mower, Theodoros Stouraitis, João Moura +7
Reliable contact simulation plays a key role in the development of (semi-)autonomous robots, especially when dealing with contact-rich manipulation scenarios, an active robotics re…
On the Accepting State Complexity of Operations on Permutation Automata
Christian Rauch, Markus Holzer
We investigate the accepting state complexity of deterministic finite automata for regular languages obtained by applying one of the following operations to languages accepted by p…
Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models
Christian Rauch, Ran Long, Vladimir Ivan +1
This work presents an approach for modelling and tracking previously unseen objects for robotic grasping tasks. Using the motion of objects in a scene, our approach segments rigid…
RGB-D SLAM in Indoor Planar Environments with Multiple Large Dynamic Objects
Ran Long, Christian Rauch, Tianwei Zhang +3
This work presents a novel dense RGB-D SLAM approach for dynamic planar environments that enables simultaneous multi-object tracking, camera localisation and background reconstruct…
RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects
Ran Long, Christian Rauch, Tianwei Zhang +2
This work presents a novel RGB-D SLAM approach to simultaneously segment, track and reconstruct the static background and large dynamic rigid objects that can occlude major portion…