activity
20212026
most citedAn Online Framework for Cognitive Load Assessment in Assembly Tasks

88 citations · 250 across the 18 of their papers we have counts for

collaborators

21 papers

cs.RO2026

Active Perception of Upper-Limb Functional Mobility through Human-Robot Handovers

Francesco Semeraro, Marta Lagomarsino, Alberto Ranavolo +1

The reintegration of people in the workplace after an upper-limb injury is often a long process. Collaborative robots and humanoids operating in shared workspaces must adapt their…

cs.CV2026

Graph-Based Recognition of Simulated Train-Driver States From Facial and Upper-Body Keypoints

Olivia Nocentini, Marta Lagomarsino, Gokhan Solak +6

Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks. This study presents a…

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★ 7 cited

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★ 2 cited

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★ 1 cited

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…

cs.RO2025

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.RO2025

A Human-in-the-loop Approach to Robot Action Replanning through LLM Common-Sense Reasoning

Elena Merlo, Marta Lagomarsino, Arash Ajoudani

To facilitate the wider adoption of robotics, accessible programming tools are required for non-experts. Observational learning enables intuitive human skills transfer through hand…

cs.CV2025

Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features

Olivia Nocentini, Marta Lagomarsino, Gokhan Solak +4

Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks. This study presents a…

cs.RO2025

Mitigating Compensatory Movements in Prosthesis Users via Adaptive Collaborative Robotics

Marta Lagomarsino, Robin Arbaud, Francesco Tassi +1

Prosthesis users can regain partial limb functionality, however, full natural limb mobility is rarely restored, often resulting in compensatory movements that lead to discomfort, i…

cs.CV2025

WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks

Younggeol Cho, Elisa Motta, Olivia Nocentini +4

Human pose estimation and action recognition have received attention due to their critical roles in healthcare monitoring, rehabilitation, and assistive technologies. In this study…

cs.RO2024

Exploiting Information Theory for Intuitive Robot Programming of Manual Activities

Elena Merlo, Marta Lagomarsino, Edoardo Lamon +1

Observational learning is a promising approach to enable people without expertise in programming to transfer skills to robots in a user-friendly manner, since it mirrors how humans…

cs.RO2024★ 11 cited

PRO-MIND: Proximity and Reactivity Optimisation of robot Motion to tune safety limits, human stress, and productivity in INDustrial settings

Marta Lagomarsino, Marta Lorenzini, Elena De Momi +1

Despite impressive advancements of industrial collaborative robots, their potential remains largely untapped due to the difficulty in balancing human safety and comfort with fast p…

cs.RO2023★ 28 cited

Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning

Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable +3

Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human p…

cs.CV2023

Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection

Elena Merlo, Marta Lagomarsino, Edoardo Lamon +1

This paper presents a new method to describe spatio-temporal relations between objects and hands, to recognize both interactions and activities within video demonstrations of manua…

cs.RO2022★ 1 cited

Gestural and Touchscreen Interaction for Human-Robot Collaboration: a Comparative Study

Antonino Bongiovanni, Alessio De Luca, Luna Gava +8

Close human-robot interaction (HRI), especially in industrial scenarios, has been vastly investigated for the advantages of combining human and robot skills. For an effective HRI,…

cs.RO2022★ 72 cited

Pick the Right Co-Worker: Online Assessment of Cognitive Ergonomics in Human-Robot Collaborative Assembly

Marta Lagomarsino, Marta Lorenzini, Pietro Balatti +2

Human-robot collaborative assembly systems enhance the efficiency and productivity of the workplace but may increase the workers' cognitive demand. This paper proposes an online an…

cs.RO2022★ 36 cited

Robot Trajectory Adaptation to Optimise the Trade-off between Human Cognitive Ergonomics and Workplace Productivity in Collaborative Tasks

Marta Lagomarsino, Marta Lorenzini, Elena De Momi +1

In hybrid industrial environments, workers' comfort and positive perception of safety are essential requirements for successful acceptance and usage of collaborative robots. This p…

cs.RO2021★ 88 cited

An Online Framework for Cognitive Load Assessment in Assembly Tasks

Marta Lagomarsino, Marta Lorenzini, Elena De Momi +1

The ongoing trend towards Industry 4.0 has revolutionised ordinary workplaces, profoundly changing the role played by humans in the production chain. Research on ergonomics in indu…

cs.RO2021★ 4 cited

Image-guided Breast Biopsy of MRI-visible Lesions with a Hand-mounted Motorised Needle Steering Tool

Marta Lagomarsino, Vincent Groenhuis, Maura Casadio +3

A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-gui…