2 papers
cs.RO2026
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan, Shuyang Sun, Daniel Omeiza +4
We need to trust robots that use often opaque AI methods. They need to explain themselves to us, and we need to trust their explanation. In this regard, explainability plays a crit…
cs.CV2025
SpatialBot: Precise Spatial Understanding with Vision Language Models
Wenxiao Cai, Iaroslav Ponomarenko, Jianhao Yuan +4
Vision Language Models (VLMs) have achieved impressive performance in 2D image understanding, however they are still struggling with spatial understanding which is the foundation o…