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.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…
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…