José Luis Pons — accepted AI-conference papers

2021

A Framework for Dyadic Physical Interaction Studies During Ankle Motor Tasks

Sangjoon J. Kim, Yue Wen, Emek Baris Küçüktabak, Shaobo Zhan, Kevin M. Lynch, Levi J. Hargrove +2

RA-L 2021

Over the past few decades, there have been many studies of human-human physical interaction to better understand why humans physically interact so effectively and how dyads outperform individuals in certain motor tasks. Because of the different methodologies and experimental setups in these studies,

Cited by 10 Source ↗Scholar ↗

2020

From the State of the Art of Assessment Metrics Toward Novel Concepts for Humanoid Robot Locomotion Benchmarking

Felix Aller, David Pinto-Fernandez, Diego Torricelli, José Luis Pons, Katja D. Mombaur

RA-L 2020

In order to prepare humanoid robots for real-world applications, it is necessary to assess the robots' locomotion performance and to determine their readiness level. We have carried out an extensive statistical literature review of 204 publications evaluating what kind of benchmarking scenarios and

Cited by 12 Source ↗Scholar ↗