Matthew Millard — 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 ↗

2017

Motion Optimization and Parameter Identification for a Human and Lower Back Exoskeleton Model

Paul Manns, Manish N. Sreenivasa, Matthew Millard, Katja D. Mombaur

RA-L 2017

Designing an exoskeleton to reduce the risk of low-back injury during lifting is challenging. Computational models of the human-robot system coupled with predictive movement simulations can help to simplify this design process. Here, we present a study that models the interaction between a human mod

Cited by 38 Source ↗Scholar ↗