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Optimality of Human Teachers for Robot Learners
(Georgia Institute of Technology, 2010)
In this paper we address the question of how closely
everyday human teachers match a theoretically optimal teacher.
We present two experiments in which subjects teach a concept to
our robot in a supervised fashion. In ...
Controlling Social Dynamics with a Parametrized Model of Floor Regulation
(Georgia Institute of Technology, 2012)
Turn-taking is ubiquitous in human communication, yet turn-taking between humans and robots continues to be stilted and awkward for human users. The goal of our work is to build autonomous robot controllers for successfully ...
Timing in Multimodal Turn-Taking Interactions: Control and Analysis Using Timed Petri Nets
(Georgia Institute of Technology, 2012)
Turn-taking interactions with humans are multimodal and reciprocal in nature. In addition, the timing of actions is of great importance, as it influences both social and task strategies. To enable the precise control and ...
Multi-Cue Contingency Detection
(Georgia Institute of Technology, 2012-04)
The ability to detect a human's contingent response is an essential skill for a social robot attempting to engage new interaction partners or maintain ongoing turn-taking interactions. Prior work on contingency detection ...
Towards Grounding Concepts for Transfer in Goal Learning from Demonstration
(Georgia Institute of Technology, 2011-08)
We aim to build robots that frame the task learning problem as goal inference so that they are natural to teach and meet people's expectations for a learning partner. The focus of this work is the scenario of a social robot ...
Effective robot task learning by focusing on task-relevant objects
(Georgia Institute of Technology, 2009-10)
In a robot learning from demonstration framework involving environments with many objects, one of the key problems is to decide which objects are relevant to a given task. In this paper, we analyze this problem and propose ...
Human-like Action Segmentation for Option Learning
(Georgia Institute of Technology, 2011)
Robots learning interactively with a human partner has several open questions, one of which is increasing the efficiency of learning. One approach to this problem in the Reinforcement Learning domain is to use options, ...
Multimodal Real-Time Contingency Detection for HRI
(Georgia Institute of Technology, 2014-09)
Our goal is to develop robots that naturally engage people in social exchanges. In this paper, we focus on the
problem of recognizing that a person is responsive to a robot’s
request for interaction. Inspired by human ...
Object Focused Q-Learning for Autonomous Agents
(Georgia Institute of Technology, 2013)
We present Object Focused Q-learning (OF-Q), a novel reinforcement learning algorithm that can offer exponential speed-ups over classic Q-learning on domains composed of independent objects. An OF-Q agent treats the state ...
Simon plays Simon says: The timing of turn-taking in an imitation game
(Georgia Institute of Technology, 2011)
Turn-taking is fundamental to the way humans engage in information exchange, but robots currently lack the turn-taking skills required for natural communication. In order to bring effective turn-taking to robots, we must ...