3 papers
cs.RO2026
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,…
cs.RO2026
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…
cs.CV2026
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…