25 citations · 40 across the 9 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…