Jul 24, 2019 · Recently, active preference learning has been applied in HRI to interactively shape a robot's behavior. We study a framework where users specify ...

Abstract. An important challenge in human–robot interaction (HRI) is enabling non-expert users to specify complex tasks for auton- omous robots.

Mar 18, 2020 · We study a framework where users specify constraints on allowable robot movements on a graphical interface, yielding a robot task specification.

A framework where users specify constraints on allowable robot movements on a graphical interface, yielding a robot task specification is studied, ...

Sep 11, 2024 · An important challenge in human robot interaction (HRI) is enabling non-expert users to specify complex tasks for autonomous robots.

Recently, active preference learning has been applied in HRI to interactively shape a robot's behavior. We study a framework where users specify constraints on ...

We study a framework where users specify constraints on allowable robot movements on a graphical interface, yielding a robot task specification. However, users ...

Improving user specifications for robot behavior through active preference learning: Framework and evaluation. N Wilde, A Blidaru, SL Smith, D Kulić. The ...

Improving user specifications for robot behavior through active preference learning: Framework and evaluation. Nils Wilde; Alexandru Blidaru; [...] View all.

Abstract—We study active preference learning as a frame- work for intuitively specifying the behaviour of autonomous robots. A user chooses the preferred ...