Jul 9, 2017 · This paper summarizes our own work in this area, which depicts the different ways that probabilistic planning and game-theoretic algorithms can ...

We model the interaction as a repeated game, and present an optimal policy computation algorithm that has complexity linear to the number of robot actions.

The robot takes information-seeking actions that allow estimation of the human policy π H , but also communicative actions that guide π H towards better ways of ...

2: We have applied our research to human-robot collaboration across different robot morphologies and settings: ... robot mutual adaptation in collaborative tasks: ...

Dec 7, 2017 · While much work in human-robot interaction has focused on leader- follower teamwork models, the recent advancement of robotic systems.

This paper summarizes its own work in this area, which depicts the different ways that probabilistic planning and game-theoretic algorithms can enable such ...

Abstract: The goal of my research is to improve human-robot collaboration by integrating mathematical models of human behavior into robot decision making.

Mathematical Models of Adaptation in Human-Robot Collaboration · Predicting the human behaviour in human-robot co-assemblies: an approach based on suffix trees.

Bibliographic details on Mathematical Models of Adaptation in Human-Robot Collaboration.

A robot operating in isolation needs to reason over the uncertainty in itsmodel of the world and adapt its own actions to account for this uncertainty.