collaborators

10 papers

cs.RO2026

Rheos: Modelling Continuous Motion Dynamics in Hierarchical 3D Scene Graphs

Iacopo Catalano, Francesco Verdoja, Javier Civera +2

3D Scene Graphs (3DSGs) provide hierarchical, multi-resolution abstractions that encode the geometric and semantic structure of an environment, yet their treatment of dynamics rema…

cs.RO2026

ReMoBot: Retrieval-Based Few-Shot Imitation Learning for Mobile Manipulation with Vision Foundation Models

Yuying Zhang, Wenyan Yang, Francesco Verdoja +2

Imitation learning (IL) algorithms typically distill demonstrations into parametric policies to mimic expert behavior. However, with limited data and partial observability, such as…

cs.RO2026

ReGIL: Retrieval-Guided Imitation Learning from a Single Demonstration

Yuying Zhang, Francesco Verdoja, Wenyan Yang +1

Learning robot manipulation policies with deep neural networks from a single demonstration remains highly challenging, as even small deviations from the demonstrated trajectory can…

cs.RO2026

Minimal Intervention Shared Control with Guaranteed Safety under Non-Convex Constraints

Shivam Chaubey, Francesco Verdoja, Shankar Deka +1

Shared control combines human intention with autonomous decision-making. At the low level, the primary goal is to maintain safety regardless of the user's input to the system. Howe…

cs.RO2026

Event-Grounding Graph: Unified Spatio-Temporal Scene Graph from Robotic Observations

Phuoc Nguyen, Francesco Verdoja, Ville Kyrki

A fundamental aspect for building intelligent autonomous robots that can assist humans in their daily lives is the construction of rich environmental representations. While advance…

cs.RO2026

Relational Scene Graphs for Object Grounding of Natural Language Commands

Julia Kuhn, Francesco Verdoja, Tsvetomila Mihaylova +1

Robots are finding wider adoption in human environments, increasing the need for natural human-robot interaction. However, understanding a natural language command requires the rob…