Autonomous agents (robots) face tremendous challenges while interacting with
heterogeneous human agents in close proximity. One of these challenges is that the …

My work aims to enable robots to more effectively learn how to help people. The way in
which people want to be helped by robots can vary by task, person, or time, among other …

Robots are moving from working in isolated cham-bers to working in close-proximity with
human collaborator (s) as part of human-robot teams. In such situations, robots are …

Emergent behavior arising in a joint human-robot system cannot be fully predicted based on
an understanding of the individual agents. Typically, robot behavior is governed by …

When robots interact with humans in homes, roads, or factories the human's behavior often
changes in response to the robot. Non-stationary humans are challenging for robot learners …

During human-robot interaction, we want the robot to understand us, and we want to
intuitively understand the robot. In order to communicate with and understand the robot, we …

A key challenge in human-robot interaction is developing high fidelity models for the human
agent. Without these models, the robot agent cannot properly predict human behaviors and …

When a robot performs a task next to a human, physical interaction is inevitable: the human
might push, pull, twist, or guide the robot. The state of the art treats these interactions as …

Effective collaboration between humans and robots hinges on the robot's ability to
comprehend its human teammate. This collaboration demands the development of machine …

Humans can leverage physical interaction to teach robot arms. This physical interaction
takes multiple forms depending on the task, the user, and what the robot has learned so far …