Felix Aller — accepted AI-conference papers

2021

I3SA: The Increased Step Size Stability Assessment Benchmark and its Application to the Humanoid Robot REEM-C

Felix Aller, Monika Harant, Sebastian Sontag, Matthew Millard, Katja Mombaur

IROS 2021poster

The implementation of stable locomotion on humanoid robots is a difficult task. This is complicated by the fact that there is no uniform method for analyzing a robot and its control architecture and for calculating indicators to quantify performance of flat ground walking. Moreover, there is no wide…

Cited by 3 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 ↗