2019
DOI: 10.48550/arxiv.1909.11227
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Negotiation-based Human-Robot Collaboration via Augmented Reality

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Cited by 4 publications
(6 citation statements)
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“…The rise of new VAM-HRI research has demonstrated the potential for virtual reality (VR), augmented reality (AR), and mixed reality (MR) across a number of application domains that are of significant historical interest to the field of HRI, including education [15,27], social support [32,67], and task-based collaboration [14,22], while illustrating how MR and VR can be used as new tools in a HRI researcher's toolkit for robot design [12], human-subject experimentation [93,95], and robot programming and debugging [35].…”
Section: Vam-hri Advancement Over Timementioning
confidence: 99%
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“…The rise of new VAM-HRI research has demonstrated the potential for virtual reality (VR), augmented reality (AR), and mixed reality (MR) across a number of application domains that are of significant historical interest to the field of HRI, including education [15,27], social support [32,67], and task-based collaboration [14,22], while illustrating how MR and VR can be used as new tools in a HRI researcher's toolkit for robot design [12], human-subject experimentation [93,95], and robot programming and debugging [35].…”
Section: Vam-hri Advancement Over Timementioning
confidence: 99%
“…Robot Location VDEs convey where a robot is in the environment, e.g., as an occluded robot's outline with a Spatial Visualization Virtual Robot or a virtual indicator on the other side of a wall or door, as a top-down radar-like display showing user and robot locations, or as an off-screen indicator to direct a user's attention to a robot outside the current field-of-view [14,90] (see Figure 5-D).…”
Section: Robot Status Visualizations -Externalmentioning
confidence: 99%
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“…The system consists of different visualizations that represent sensory and cognitive data that is rendered on the user interface. Other studies utilize AR interface to support human-multirobot collaboration, where the robots collaborate with both the robot and human teammates (Chandan, Li, and Zhang, 2019).…”
Section: Related Workmentioning
confidence: 99%