Coordination in human-robot teams using mental modeling and plan recognition

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How researchers see this paper

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Plan explicability and predictability for robot task planning (2015, neutral): “While our work on plan explicability and predictability falls within the scope of human-in-the-loop planning (which also includes human-aware planning), it differs significantly from the previous work.”
Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge (2018, background): “Approaches such as [5, 6, 8, 25] use symbolic data bases and ontologies but ignore the perceptual context.”
Balancing Explicability and Explanation in Human-Aware Planning (2017, background): “nteresting behavior by affecting the belief state of the human, such as in planning for serendipity [8]. In the plan space, a human-aware agent can use MH and MR h to compute joint plans for teamwork [32] or generate behavior that conforms to the human’s preferences [11, 22] and expectations [23, 34”
Planning for serendipity (2015, background): “For the purposes of this paper, we assume that agents have complete information about the environment, and the robot has the complete domain as well as belief model of the humans.”
Capability Models and Their Applications in Planning (2015, unknown): “We also plan to explore applications of capability models in our ongoing work on human-robot teaming [22, 13].”