234 citations · 347 across the 11 of their papers we have counts for
16 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…
Beyond Visual Quality: A Study of Test-Time Planning with World Action Models
Jianhao Yuan, Yu Yuan, Benjamin Ramtoula +5
World action models generate actions together with visual predictions of their consequences. These paired outputs create the potential for planning by sampling multiple actions fro…
PriorEye: Geospatial Visual Priors for End-to-End Autonomous Driving
Kyuhwan Yeon, Benjamin Ramtoula, Daniele De Martini
Most end-to-end autonomous driving methods rely solely on instantaneous sensor observations, limiting them to reactive behavior without the anticipatory foresight human drivers emp…
Beyond a Shadow of a Doubt: Close Proximity Geometry Reconstruction Using FMCW Radar Shadow Effects
Felix de Trogoff du Boisguezennec, Benjamin Ramtoula, Daniele De Martini
Reliable perception in adverse conditions remains challenging for autonomous systems, as cameras and LiDAR degrade in poor lighting or weather. Millimetre-wave FMCW radar is robust…
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…
3D Foundation Model-Based Loop Closing for Decentralized Collaborative SLAM
Pierre-Yves Lajoie, Benjamin Ramtoula, Daniele De Martini +1
Decentralized Collaborative Simultaneous Localization And Mapping (C-SLAM) techniques often struggle to identify map overlaps due to significant viewpoint variations among robots.…
Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models
Benjamin Ramtoula, Pierre-Yves Lajoie, Paul Newman +1
Foundation models (FMs) trained with different objectives and data learn diverse representations, making some more effective than others for specific downstream tasks. Existing ada…
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd +1
This paper adapts a general dataset representation technique to produce robust Visual Place Recognition (VPR) descriptors, crucial to enable real-world mobile robot localisation. T…
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation
Matthew Gadd, Benjamin Ramtoula, Daniele De Martini +1
Recalling the most relevant visual memories for localisation or understanding a priori the likely outcome of localisation effort against a particular visual memory is useful for ef…
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Benjamin Ramtoula, Matthew Gadd, Paul Newman +1
Selecting appropriate datasets is critical in modern computer vision. However, no general-purpose tools exist to evaluate the extent to which two datasets differ. For this, we prop…
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape
Pierre-Yves Lajoie, Benjamin Ramtoula, Fang Wu +1
Motivated by the tremendous progress we witnessed in recent years, this paper presents a survey of the scientific literature on the topic of Collaborative Simultaneous Localization…
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARP…
MSL-RAPTOR: A 6DoF Relative Pose Tracker for Onboard Robotic Perception
Benjamin Ramtoula, Adam Caccavale, Giovanni Beltrame +1
Determining the relative position and orientation of objects in an environment is a fundamental building block for a wide range of robotics applications. To accomplish this task ef…
CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of Objects in Robot Networks
Benjamin Ramtoula, Ricardo de Azambuja, Giovanni Beltrame
Using multiple robots for exploring and mapping environments can provide improved robustness and performance, but it can be difficult to implement. In particular, limited communica…
Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
Jacopo Panerati, Benjamin Ramtoula, David St-Onge +5
Redundancy and parallelism make decentralized multi-robot systems appealing solutions for the exploration of extreme environments. However, effective cooperation often requires tea…
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
Pierre-Yves Lajoie, Benjamin Ramtoula, Yun Chang +2
To achieve collaborative tasks, robots in a team need to have a shared understanding of the environment and their location within it. Distributed Simultaneous Localization and Mapp…