activity
20202022
most citedVisual Modulation of Human Responses to Support Surface Translation

12 citations · 32 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.RO2022★ 3 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.RO2021★ 1 cited

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…

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.RO2021★ 4 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.RO2021★ 1 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…