1 citations · 1 across the 6 of their papers we have counts for
7 papers
InfraVLA: Extending Vision-Language-Action Navigation with Infrastructure Cameras
Lukas Vierling, Benjamin Ramtoula, Luke Robinson +2
Many indoor environments in which robots operate, such as warehouses, offices, and hospitals, already have cameras installed. They observe parts of the building that the robot cann…
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…
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval
Davide Buoso, Luke Robinson, Giuseppe Averta +3
This study explores the potential of off-the-shelf Vision-Language Models (VLMs) for high-level robot planning in the context of autonomous navigation. Indeed, while most of existi…
NeRFoot: Robot-Footprint Estimation for Image-Based Visual Servoing
Daoxin Zhong, Luke Robinson, Daniele De Martini
This paper investigates the utility of Neural Radiance Fields (NeRF) models in extending the regions of operation of a mobile robot, controlled by Image-Based Visual Servoing (IBVS…
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…
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network
Luke Robinson, Matthew Gadd, Paul Newman +1
We present a system which grows and manages a network of remote viewpoints during the natural installation cycle for a newly installed camera network or a newly deployed robot flee…
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control
Luke Robinson, Daniele De Martini, Matthew Gadd +1
This work proposes a fast deployment pipeline for visually-servoed robots which does not assume anything about either the robot - e.g. sizes, colour or the presence of markers - or…