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Coordination in human-robot teams using mental modeling and plan recognition
TLDR
In this paper, we cast the evolving and complex structure of beliefs, and inference over them, as a planning and plan recognition problem. Expand
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Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities
TLDR
The ultimate goal of human natural language interaction is to communicate intentions. Expand
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"Sorry, I Can't Do That": Developing Mechanisms to Appropriately Reject Directives in Human-Robot Interactions
TLDR
In this paper, we briefly presentinitial work that has been done in the DIARC/ADE cognitive robotic architecture to enable a directive rejectionand explanation mechanism, showing its operation in asimple HRI scenario. Expand
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Novel Mechanisms for Natural Human-Robot Interactions in the DIARC Architecture
Natural human-like human-robot interactions require many functional capabilities from a robot that have to be reflected in architectural components in the robotic control architecture. In particular,Expand
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How Robots Can Affect Human Behavior: Investigating the Effects of Robotic Displays of Protest and Distress
TLDR
The rise of military drones and other robots deployed in ethically-sensitive contexts has fueled interest in developing autonomous agents that behave ethically. Expand
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Planning for serendipity
TLDR
We formalize this notion of planning for serendipity for the first time, and provide an Integer Programming based solution for this problem. Expand
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Multi-modal Belief Updates in Multi-Robot Human-Robot Dialogue Interactions
Humans working in teams typically use task-based natural language dialogues to coordinate activities. And they use mental models of team mates which they update automatically based on perceived andExpand
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Enabling robots to understand indirect speech acts in task-based interactions
TLDR
An important open problem for enabling truly taskable robots is the lack of task-general natural language mechanisms within cognitive robot architectures that enable robots to understand typical forms of human directives and generate appropriate responses. Expand
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A Dempster-Shafer Theoretic Approach to Understanding Indirect Speech Acts
TLDR
We present a new approach for understanding ISAs using the Dempster-Shafer theory of evidence and show how this approach increases the robustness of ISA inference by (1) accounting for uncertain implication rules and context, (2) fluidly adapting rules given new information, and enabling better modeling of the beliefs of other agents. Expand
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Towards morally sensitive action selection for autonomous social robots
TLDR
We present an action execution system for social robots that can (a) detect (some) norm violations, (b) consult an ethical reasoner for guidance on what to do in moral dilemma situations, and (c) it can keep track of execution traces and any resulting states that might have violated norms in order to produce justifications. Expand
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