Fostering Robust Human-Robot Collaboration through AI Task Planning

On Planning and Task Achievement Modalities for Human-Robot Collaboration

In this paper we present a robot supervision system designed to be able to execute collaborative tasks with humans in a flexible and robust way. Our system is designed to take into account the different preferences of the human partners, providing three operation modalities to interact with them. The robot is able to assume a leader role, planning and monitoring the execution of the task for it...

Toward Human-Aware Robot Task Planning

Human-robot interaction requires explicit reasoning on human environment and on robot capacities to achieve its tasks in a collaborative way with a human partner. We have devised a decisional framework for humanrobot interactive task achievement that is aimed to allow the robot not only to accomplish its tasks but also to produce behaviors that support its engagement vis-avis its human partner ...

Building Companionship through Human-Robot Collaboration

While human-robot collaboration has been studied intensively in the literature, little attention has been given to understanding the role of collaborative endeavours on enhancing the companionship between humans and robots. In this position paper, we explore the possibilities of building the human-robot companionship through collaborative activities. The design guideline of a companion robot Na...

Supporting task-oriented collaboration in human-robot teams using semantic-based path planning

Improvements in robot autonomy are changing the human-robot interaction from low-level manipulation to high-level task-based collaboration. For a task-oriented collaboration, a human assigns sub-tasks to robot team members. In this paper, we consider task-oriented collaboration of humans and robots in a cordon and search problem. We focus on a path-planning framework with natural language input...

Multi - Robot Collaboration for Robust