Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

Adaptation is critical for effective team collaboration. This paper introduces a computational
formalism for mutual adaptation between a robot and a human in collaborative tasks. We …

We present a framework for automatically learning human user models from joint-action
demonstrations that enables a robot to compute a robust policy for a collaborative task with a …

In human-robot teams, humans often start with an inaccurate model of the robot capabilities.
As they interact with the robot, they infer the robot's capabilities and partially adapt to the …

Supporting a wide variety of interaction styles across a diverse set of people is a significant
challenge in human-robot interaction (HRI). In this work, we explore a data-driven approach …

Mutual adaptation is critical for effective team collaboration. This paper presents a formalism
for human-robot mutual adaptation in collaborative tasks. We propose the bounded-memory …

We propose an architecture as a robot» s decision-making mechanism to anticipate a
human» s state of mind, and so plan accordingly during a human-robot collaboration task. At …

Mutual gaze is an important aspect of face-to-face communication that arises from the
interaction of the gaze behavior of two individuals. In this dual eye-tracking study, gaze data …

This article presents the results of a study on the effects of representing time and intention in
models of socially situated tasks on the quality of policies for robot behavior. The ability to …

We present POMCoP, a system for online planning in collaborative domains that reasons
about how its actions will affect its understanding of human intentions, and demonstrate its …