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

88 citations · 531 across the 65 of their papers we have counts for

collaborators
Showing 2023Show all

13 papers · 1 filter

cs.RO2023

Semantic-based Loco-Manipulation for Human-Robot Collaboration in Industrial Environments

Federico Rollo, Gennaro Raiola, Nikolaos Tsagarakis +3

Robots with a high level of autonomy are increasingly requested by smart industries. A way to reduce the workers' stress and effort is to optimize the working environment by taking…

cs.RO2023★ 10 cited

FollowMe: a Robust Person Following Framework Based on Re-Identification and Gestures

Federico Rollo, Andrea Zunino, Gennaro Raiola +3

Human-robot interaction (HRI) has become a crucial enabler in houses and industries for facilitating operational flexibility. When it comes to mobile collaborative robots, this fle…

cs.RO2023

Robot-Assisted Navigation for Visually Impaired through Adaptive Impedance and Path Planning

Pietro Balatti, Idil Ozdamar, Doganay Sirintuna +4

This paper presents a framework to navigate visually impaired people through unfamiliar environments by means of a mobile manipulator. The Human-Robot system consists of three key…

cs.RO2023

A Human Motion Compensation Framework for a Supernumerary Robotic Arm

Xin Zhang, Pietro Balatti, Mattia Leonori +1

Supernumerary robotic arms (SRAs) can be used as the third arm to complement and augment the abilities of human users. The user carrying a SRA forms a connected kinodynamic chain,…

cs.CV2023

CARPE-ID: Continuously Adaptable Re-identification for Personalized Robot Assistance

Federico Rollo, Andrea Zunino, Nikolaos Tsagarakis +2

In today's Human-Robot Interaction (HRI) scenarios, a prevailing tendency exists to assume that the robot shall cooperate with the closest individual or that the scene involves mer…

cs.RO2023

Artifacts Mapping: Multi-Modal Semantic Mapping for Object Detection and 3D Localization

Federico Rollo, Gennaro Raiola, Andrea Zunino +2

Geometric navigation is nowadays a well-established field of robotics and the research focus is shifting towards higher-level scene understanding, such as Semantic Mapping. When a…

cs.RO2023★ 3 cited

The Bridge between Xsens Motion-Capture and Robot Operating System (ROS): Enabling Robots with Online 3D Human Motion Tracking

Mattia Leonori, Marta Lorenzini, Luca Fortini +2

This document introduces the bridge between the leading inertial motion-capture systems for 3D human tracking and the most used robotics software framework. 3D kinematic data provi…

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.CV2023★ 4 cited

Markerless 3D human pose tracking through multiple cameras and AI: Enabling high accuracy, robustness, and real-time performance

Luca Fortini, Mattia Leonori, Juan M. Gandarias +2

Tracking 3D human motion in real-time is crucial for numerous applications across many fields. Traditional approaches involve attaching artificial fiducial objects or sensors to th…

cs.RO2023★ 14 cited

Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly

Sebastian Hjorth, Edoardo Lamon, Dimitrios Chrysostomou +1

Human-robot collaborative disassembly is an emerging trend in the sustainable recycling process of electronic and mechanical products. It requires the use of advanced technologies…

cs.RO2023

Enhancing Human-Robot Collaboration Transportation through Obstacle-Aware Vibrotactile Feedback

Doganay Sirintuna, Idil Ozdamar, Juan M. Gandarias +1

Transporting large and heavy objects can benefit from Human-Robot Collaboration (HRC), increasing the contribution of robots to our daily tasks and reducing the risk of injuries to…

cs.RO2023★ 75 cited

An Ergonomic Role Allocation Framework for Dynamic Human-Robot Collaborative Tasks

Elena Merlo, Edoardo Lamon, Fabio Fusaro +4

By incorporating ergonomics principles into the task allocation processes, human-robot collaboration (HRC) frameworks can favour the prevention of work-related musculoskeletal diso…