31 citations · 125 across the 19 of their papers we have counts for
21 papers
Learning Changes the World and Then What Was Learned has Changed: Training and Deploying Neural Networks in the Control Loop
Vittorio Lippi
Neural networks offer critical adaptability for controlling complex systems where nominal modeling proves intractable. However, when offline-trained neural networks are deployed wi…
User-centered evaluation of the Wearable Walker lower limb exoskeleton, preliminary assessment based on the Experience protocol
Cristian Camardella, Vittorio Lippi, Francesco Porcini +7
Using lower-limbs exoskeletons provides potential advantages in terms of productivity and safety associated with reduced stress. However, complex issues in human-robot interaction…
Using the Built-in iPhone Body Tracking System for Neurological Tests: The Example of Assessing Arm Weakness in Stroke Patients. A Preliminary Evaluation of Accuracy and Performance
Vittorio Lippi, Isabelle Daniela Walz, Tobias Heimbach +4
Timely treatment of stroke is critical to minimize brain damage. Therefore, efforts are being made to educate the public on detecting stroke symptoms, e.g., face, arms, and speech…
A Dynamic Computational Model of Head Sway Responses in Human Upright Stance Postural Control during Support Surface Tilt
Vittorio Lippi, Christoph Maurer, Stefan Kammermeier
Human and humanoid posture control models usually rely on single or multiple degrees of freedom inverted pendulum representation of upright stance associated with a feedback contro…
Human body-sway steady-state responses to small amplitude tilts and translations of the support surface -- Effects of superposition of the two stimuli
Vittorio Lippi, Christoph Maurer, Thomas Mergner
Upright stance tested with a superposition of support surface tilt and translation. Steady state response is characterized by frequency response function. Interaction between two s…
Phase Distribution in Probabilistic Movement Primitives, Representing Time Variability for the Recognition and Reproduction of Human Movements
Vittorio Lippi, Raphael Deimel
Probabilistic Movement Primitives (ProMPs) are a widely used representation of movements for human-robot interaction. They also facilitate the factorization of temporal and spatial…
Human-Likeness Indicator for Robot Posture Control and Balance
Vittorio Lippi, Christoph Maurer, Thomas Mergner
Similarly to humans, humanoid robots require posture control and balance to walk and interact with the environment. In this work posture control in perturbed conditions is evaluate…
EXOSMOOTH: Test of Innovative EXOskeleton Control for SMOOTH Assistance, With and Without Ankle Actuation
Vittorio Lippi, Alessandro Filippeschi, Cristian Camardella +3
This work presents a description of the EXOSMOOTH project, oriented to the benchmarking of lower limb exoskeletons performance. In the field of assisted walking by powered lower li…
A Bio-inspired Modular System for Humanoid Posture Control
Vittorio Lippi, Thomas Mergner, Georg Hettich
Bio-inspired sensorimotor control systems may be appealing to roboticists who try to solve problems of multiDOF humanoids and human-robot interactions. This paper presents a simple…
Evaluating Robot Posture Control and Balance by Comparison to Human Subjects using Human Likeness Measures
Vittorio Lippi, Christoph Maurer, Thomas Mergner
Posture control and balance are basic requirements for a humanoid robot performing motor tasks like walking and interacting with the environment. For this reason, posture control i…
Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton
Vittorio Lippi, Cristian Camardella, Alessandro Filippeschi +1
Lower limbs exoskeletons provide assistance during standing, squatting, and walking. Gait dynamics, in particular, implies a change in the configuration of the device in terms of c…
COMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance
Vittorio Lippi, Thomas Mergner, Thomas Seel +1
This work presents a system to benchmark humanoid posture control and balance performances under perturbed conditions. The specific benchmarking scenario consists, for example, of…
Visual Modulation of Human Responses to Support Surface Translation
Mustafa Emre Akçay, Vittorio Lippi, Thomas Mergner
Vision is known to improve human postural responses to external perturbations. This study investigates the role of vision for the responses to continuous pseudorandom support surfa…
The Importance of Models in Data Analysis with Small Human Movement Datasets -- Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans
Vittorio Lippi, Christoph Maurer, Thomas Mergner
This work presents a system identification procedure based on Convolutional Neural Networks (CNN) for human posture control using the DEC (Disturbance Estimation and Compensation)…
Deep Learning Based Model Identification System Exploits the Modular Structure of a Bio-Inspired Posture Control Model for Humans and Humanoids
Vittorio Lippi
This work presents a system identification procedure based on Convolutional Neural Networks (CNN) for human posture control using the DEC (Disturbance Estimation and Compensation)…
Body sway responses to pseudorandom support surface translations of vestibular loss subjects resemble those of vestibular able subjects
V. Lippi, L. Assländer, E. Akcay +1
Body sway responses evoked by a horizontal acceleration of a level and firm support surface are particular in that the vestibular information on body-space angle BS resembles the p…
Deep Learning for Posture Control Nonlinear Model System and Noise Identification
Vittorio Lippi, Thomas Mergner, Christoph Maurer
In this work we present a system identification procedure based on Convolutional Neural Networks (CNN) for human posture control models. A usual approach to the study of human post…
Lyapunov Stability of a Nonlinear Bio-inspired System for the Control of Humanoid Balance
Vittorio Lippi, Fabio Molinari
Human posture control models are used to analyse neurological experiments and control of humanoid robots. This work focuses on a well-known nonlinear posture control model, the DEC…
Distributed Bio-inspired Humanoid Posture Control
Vittorio Lippi, Fabio Molinari, Thomas Seel
This paper presents an innovative distributed bio-inspired posture control strategy for a humanoid, employing a balance control system DEC (Disturbance Estimation and Compensation)…
Incremental Principal Component Analysis Exact implementation and continuity corrections
Vittorio Lippi, Giacomo Ceccarelli
This paper describes some applications of an incremental implementation of the principal component analysis (PCA). The algorithm updates the transformation coefficients matrix on-l…
Support Vector Machine Classification on a Biased Training Set: Multi-Jet Background Rejection at Hadron Colliders
Federico Sforza, Vittorio Lippi
This paper describes an innovative way to optimize a multivariate classifier, in particular a Support Vector Machine algorithm, on a problem characterized by a biased training samp…