3 papers
cs.HC2025
Applying Ontologies and Knowledge Augmented Large Language Models to Industrial Automation: A Decision-Making Guidance for Achieving Human-Robot Collaboration in Industry 5.0
John Oyekan, Christopher Turner, Michael Bax +1
The rapid advancement of Large Language Models (LLMs) has resulted in interest in their potential applications within manufacturing systems, particularly in the context of Industry…
cs.CV2025
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding
Jingming Xia, Guanqun Cao, Guang Ma +3
Monocular depth estimation involves predicting depth from a single RGB image and plays a crucial role in applications such as autonomous driving, robotic navigation, 3D reconstruct…
cs.RO2025
Learn from the Past: Language-conditioned Object Rearrangement with Large Language Models
Guanqun Cao, Ryan Mckenna, Erich Graf +1
Object manipulation for rearrangement into a specific goal state is a significant task for collaborative robots. Accurately determining object placement is a key challenge, as misa…