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20242026
most citedRAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model

11 citations · 11 across the 3 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Multi-Robot Planning and Control from CCTV Camera Networks in a Real Warehouse

Luke Robinson, Benjamin Ramtoula, Anas Izaaryene +2

Off-board control of mobile robots from cameras embedded in the environment offers a practical path to scalable autonomy, moving sensing and compute off the robots. We extend this…

cs.RO202611 cited

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.RO2024

OORD: The Oxford Offroad Radar Dataset

Matthew Gadd, Daniele De Martini, Oliver Bartlett +11

There is a growing academic interest as well as commercial exploitation of millimetre-wave scanning radar for autonomous vehicle localisation and scene understanding. Although seve…

cs.RO2024

Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring

Matthew Gadd, Daniele De Martini, Luke Pitt +10

We describe a challenging robotics deployment in a complex ecosystem to monitor a rich plant community. The study site is dominated by dynamic grassland vegetation and is thus visu…

cs.RO2024

Open-RadVLAD: Fast and Robust Radar Place Recognition

Matthew Gadd, Paul Newman

Radar place recognition often involves encoding a live scan as a vector and matching this vector to a database in order to recognise that the vehicle is in a location that it has v…