Assessing bipedal locomotion: towards replicable benchmarks for robotic and robot-assisted locomotion.

136.2K

views

73

authors

18

articles

Assessing bipedal locomotion: towards replicable benchmarks for robotic and robot-assisted locomotion.

136.2K

views

73

authors

18

articles

Editorial

25 October 2019

Editorial: Assessing Bipedal Locomotion: Towards Replicable Benchmarks for Robotic and Robot-Assisted Locomotion

Diego Torricelli

,

Jan Veneman

,

Jose Gonzalez-Vargas

,

Katja Mombaur

and

C. David Remy

3,935 views

4 citations

Editors

5

Diego Torricelli

Spanish National Research Council (CSIC)

Karlsruhe Institute of Technology (KIT)

C. David Remy

University of Michigan

Impact

About

Human-centered and human-like bipedal robots, including robotic exoskeletons, active prosthetic devices, and humanoid machines, have reached impressive performance levels in out-of-the-lab conditions and are rapidly approaching the market. To boost better solutions, a number of competition-based initiatives (such as RockIn, Robocup, Cybathlon, and the DARPA Robotic Challenge) have aimed to test and compare robotic implementations in real-life situations. Yet, we are still lacking a rigorous methodology to evaluate the different facets of bipedal locomotion performance on a common, reproducible, and quantitative basis. Such systematic benchmarking would allow researchers to measure, identify, and improve the critical issues of their machines in an efficient and objective fashion. This Frontiers Research Topic is looking for new metrics, protocols, devices, computational methods, and reference data for rating bipedal locomotion skills according to quantitative benchmarks.

This Research Topic calls for submissions that cover the following topics:
• Assessment of walking performance in presence of disturbances (e.g., pushes, rough terrains, unstable surfaces, slopes, soft ground)
• Assessment of balance performance in presence of disturbances (e.g., pushes, moving surfaces, loads)
• Assessment of physical and cognitive interaction between robot and user
• Model-based computational methods for assessing human and human-like locomotion
• Novel equipment for performing benchmark tests
• Effectiveness of wearable robots/prostheses on patients’ performance
• Performance and safety of industrial wearable robots
• Databases of human and robotic motion
• Competition approaches

Contributions should be applied on at least one of the following areas:
• Lower limb exoskeletons
• Lower limb prosthetic devices, both passive and/or powered
• Humanoid robots, in both simulated and/or real-life environments
• Human motion analysis (e.g., clinically oriented)

We strongly encourage authors to provide detailed description of the experimental protocols, to ensure their replicability across different platforms and measurement systems.

This Research Topic is recommended by the COST Action CA16116 “Wearable Robots for Augmentation, Assistance or Substitution of Human Motor Functions” http://www.cost.eu/COST_Actions/ca/CA16116

Download ebook

PDF

EPUB

Share

Editors

Diego Torricelli

Spanish National Research Council (CSIC)

Karlsruhe Institute of Technology (KIT)

C. David Remy

University of Michigan

Impact

136,180 Total views

106,815 Article views

22,467 Article downloads

6,898 Topic views

Published In

Frontiers in Neurorobotics

Frontiers in Human Neuroscience

Human Neuroscience Archive

Frontiers in Robotics and AI

Biomedical Robotics, Humanoid Robotics, Soft Robotics, Bionics and Biomimetics

Frontiers in Bioengineering and Biotechnology

Bionics and Biomimetics

Frontiers in Medical Technology

Bionics and Biomimetics

Frontiers in Computational Neuroscience

About Frontiers Research Topics

With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author.

Suggest a topic