Antoine Rioux — accepted AI-conference papers

2017

Generating persistently exciting trajectory based on condition number optimization

Ko Ayusawa, Antoine Rioux, Eiichi Yoshida, Gentiane Venture, Maxime Gautier

ICRA 2017poster

This paper presents a novel optimization method for generating persistently exciting trajectories for inertial parameters identification of a robot. The exciting performance of the trajectories is usually evaluated by the condition number of the regressor matrix, which appears in the linear regressi…

Cited by 34 Source ↗Scholar ↗

2015

Humanoid navigation and heavy load transportation in a cluttered environment

Antoine Rioux, Wael Suleiman

IROS 2015poster

Although in recent years several studies aimed at the navigation of robots in cluttered environments, just a few have addressed the problem of robots navigating while moving a large or heavy object. This is especially useful when transporting loads with variable weights and shapes without having to…

Cited by 20 Source ↗Scholar ↗