Now showing items 1-6 of 6
Following directions using statistical machine translation
Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate how statistical machine translation techniques ...
Interactive Learning and its Role in Pervasive Robotics
As robots have become lower-cost, more ubiquitous, and more capable, the importance of enabling untrained users to interact with them has increased. Such robots have the potential to provide assistance and reduce workloads ...
Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions
(Association for the Advancement of Artificial Intelligence (AAAI)., 2014-07)
As robots become more ubiquitous, it is increasingly important for untrained users to be able to interact with them intuitively. In this work, we investigate how people refer to objects in the world during relatively ...
Combining World and Interaction Models for Human-Robot Collaborations
(Association for the Advancement of Artificial Intelligence (AAAI), 2013-07)
As robotic technologies mature, we can imagine an increasing number of applications in which robots could soon prove to be useful in unstructured human environments. Many of those applications require a natural interface ...
A Joint Model of Language and Perception for Grounded Attribute Learning
As robots become more ubiquitous and capable, it becomes ever more important to enable untrained users to easily interact with them. Recently, this has led to study of the language grounding problem, where the goal is to ...
Learning to Parse Natural Language Commands to a Robot Control System
(Springer Nature Switzerland AG., 2012-06)
As robots become more ubiquitous and capable of performing complex tasks, the importance of enabling untrained users to interact with them has increased. In response, unconstrained natural-language interaction with robots ...