collaborators

11 papers

cs.RO2026

Towards Online Robot Interaction Adaptation to Human Upper-limb Mobility Impairments in Return-to-Work Scenarios

Marta Lagomarsino, Francesco Tassi

Work environments are often inadequate and lack inclusivity for individuals with upper-body disabilities. This paper presents a novel online framework for adaptive human-robot inte…

cs.RO2026

Postural Virtual Fixtures for Ergonomic Physical Interactions with Supernumerary Robotic Bodies

Theodora Kastritsi, Marta Lagomarsino, Arash Ajoudani

Conjoined collaborative robots, functioning as supernumerary robotic bodies (SRBs), can enhance human load tolerance abilities. However, in tasks involving physical interaction wit…

cs.RO2026

Estimating Trust in Human-Robot Collaboration through Behavioral Indicators and Explainability

Giulio Campagna, Marta Lagomarsino, Marta Lorenzini +3

Industry 5.0 focuses on human-centric collaboration between humans and robots, prioritizing safety, comfort, and trust. This study introduces a data-driven framework to assess trus…

cs.RO2026

Information-Theoretic Detection of Bimanual Interactions for Dual-Arm Robot Plan Generation

Elena Merlo, Marta Lagomarsino, Arash Ajoudani

Programming by demonstration is a strategy to simplify the robot programming process for non-experts via human demonstrations. However, its adoption for bimanual tasks is an undere…

cs.RO2025

Intuitive Programming, Adaptive Task Planning, and Dynamic Role Allocation in Human-Robot Collaboration

Marta Lagomarsino, Elena Merlo, Andrea Pupa +5

Remarkable capabilities have been achieved by robotics and AI, mastering complex tasks and environments. Yet, humans often remain passive observers, fascinated but uncertain how to…

cs.LG2025

Lightweight Facial Landmark Detection in Thermal Images via Multi-Level Cross-Modal Knowledge Transfer

Qiyi Tong, Olivia Nocentini, Marta Lagomarsino +3

Facial Landmark Detection (FLD) in thermal imagery is critical for applications in challenging lighting conditions, but it is hampered by the lack of rich visual cues. Conventional…