activity
20202026
most citedAutoInspect: Towards Long-Term Autonomous Industrial Inspection

5 citations · 5 across the 9 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.RO2026

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…

cs.RO2026

Comparing Trajectories from Positions Alone: Curvature-Based Time Alignment and Drift Error Metric

Effie Daum, Daniele De Martini, Claire Dune +1

In field robotics, acquiring independent large-scale reference trajectories more accurate than the evaluated estimates remains an open challenge. The domain is widely reliant on Ab…

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.RO2026

RGB-only Active 3D Scene Graph Generation for Indoor Mobile Robots

Giorgia Modi, Davide Buoso, Giuseppe Averta +1

Current approaches to 3D scene graph generation rely on dedicated depth sensors, such as LiDAR or RGB-D cameras, for metric 3D reconstruction. This limits deployment to specialized…

cs.RO2026

Fixed External Cameras as Common Prior Maps for Active 3D Scene Graph Generation

Giorgia Modi, Davide Buoso, Giuseppe Averta +1

Commonly available prior information, such as BIM models, floor plans, and remote sensing images, can provide valuable geometric and semantic context for autonomous robotic systems…

cs.RO2026

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.…