5 papers
Physics-Informed Learning for Human Whole-Body Kinematics Prediction via Sparse IMUs
Cheng Guo, Giuseppe L'Erario, Giulio Romualdi +4
Accurate and physically feasible human motion prediction is crucial for safe and seamless human-robot collaboration. While recent advancements in human motion capture enable real-t…
A Personalizable Controller for the Walking Assistive omNi-Directional Exo-Robot (WANDER)
A. Fortuna, M. Lorenzini, M. Leonori +5
Preserving and encouraging mobility in the elderly and adults with chronic conditions is of paramount importance. However, existing walking aids are either inadequate to provide su…
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…
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,…
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…