2 citations · 4 across the 11 of their papers we have counts for
5 papers · 1 filter
Robot Learning on Discrete Surfaces: Theory and Applications
Matteo Dalle Vedove, Fares J. Abu-Dakka, Luigi Palopoli +2
All the objects composing our world are enclosed within surfaces. Yet, most robot learning and motion generation frameworks treat surfaces as constraints ignoring their intrinsic g…
Proactive Motion Planning for Human-Robot Cooperation
Elena Basei, Edoardo Lamon, Matteo Saveriano +2
This abstract addresses the incorporation of human motion prediction into proactive and dynamic human-aware motion planning, with the goal of enabling safe collaboration between hu…
Human Motion Prediction for Human-Robot Collaboration
Placido Falqueto, Elena Basei, Edoardo Lamon +4
This paper compares three human motion prediction methods - GMM-based clustering, TransFusion, and Graph-Mixer - evaluating their effectiveness in human-robot collaboration. These…
VLMs Can Describe, But Not Measure: Object-Centric Scene Understanding for Robotic Manipulation
Enrico Saccon, Tommaso Faraci, Iñigo De La Ossa Zarzuelo +3
Robotic operation in previously unseen environments requires both semantic understanding and reliable metric information. While vision--language models (VLMs) provide strong semant…
Autonomous Robotic Tissue Palpation and Abnormalities Characterisation via Ergodic Exploration
Luca Beber, Edoardo Lamon, Matteo Saveriano +2
We propose a novel autonomous robotic palpation framework for real-time elastic mapping during tissue exploration using a viscoelastic tissue model. The method combines force-based…