activity
20202022
most citedCOMTEST Project: A Complete Modular Test Stand for Human and Humanoid Posture Control and Balance

4 citations · 8 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO20223 cited

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…

cs.RO2022

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…

cs.RO2021

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…

cs.RO20214 cited

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…

cs.RO20211 cited

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)…

cs.RO2020

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…