Optimization for Robotics

Scope

The scope of the IEEE RAS TC Model-based optimization for robotics is the development and application of model-based optimization techniques for the generation and control of dynamic behaviors in robotics and their practical implementation.

Projects

KoroiBot

The goal of the KoroiBot project is to enhance the ability of humanoid robots to walk in a dynamic and versatile fashion in the way humans do. Research and innovation work in KoroiBot will mainly target novel motion control methods for existing hardware, but it will also derive optimized design principles for next generation robots.

Webpage: www.koroibot.eu

Funded by European Union under GA 611909.

Coordinator: Katja Mombaur, University of Heidelberg, Germany

CoDyCo

The aim of CoDyCo is to advance the current control and cognitive understanding about robust, goal- directed whole-body motion interaction with multiple contacts. At the end of each year a scenario will be used to validate on the iCub  the theoretical advances of the project.

Webpage: www.codyco.eu

Duration: March 2013 – Febr 2017

Funded by Europen Union under GA 600716

Coordinator: Francesco Nori, IIT,  Genova, Italy

MEMMO

The aim of MEMMO is to advance the computation of complex movements for robots with arms and legs in multi-contact scenarios in unstructured environments. This is achieved by developing a “memory of motion” approach to warm-start optimization.

Webpage: www.memmo-project.eu/

Duration: January 2018 – June 2022

Funded by the European Union under GA 780684

Coordinator: Nicolas Mansard, LAAS-CNRS, Toulouse, France