5 citations · 13 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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 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…