activity
20162026
most citedGenerating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks

32 citations · 159 across the 32 of their papers we have counts for

collaborators
Showing 2026 · cs.ROShow all

5 papers · 2 filters

cs.RO2026

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…

cs.RO2026

Trajectory-Safe Orienteering for Human-Robot Shared Environments

Songqun Gao, Elena Basei, Marco Roveri +2

Orienteering problem (OP) has wide real-world applications and also great potential in human-robot collaboration. However, existing approaches struggle to simultaneously ensure saf…

cs.RO2026

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…

cs.RO2026

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…

cs.RO2026

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…