Human-Robot Interaction in a Shared Augmented Reality Workspace
| Autor: | Shuwen Qiu, Zeyu Zhang, Song-Chun Zhu, Yixin Zhu, Hangxin Liu |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
0209 industrial biotechnology Computer science media_common.quotation_subject Computer Science - Human-Computer Interaction 020207 software engineering 02 engineering and technology Workspace Gaze Human–robot interaction Human-Computer Interaction (cs.HC) Computer Science - Robotics 020901 industrial engineering & automation Resource (project management) Human–computer interaction Perception 0202 electrical engineering electronic engineering information engineering Robot Augmented reality Robotics (cs.RO) media_common |
| Zdroj: | IROS |
| DOI: | 10.1109/iros45743.2020.9340781 |
| Popis: | We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a bi-directional communication between human agents and robots. In a prototype system, the shared AR workspace enables a shared perception, so that a physical robot not only perceives the virtual elements in its own view but also infers the utility of the human agent--the cost needed to perceive and interact in AR--by sensing the human agent's gaze and pose. Such a new HRI design also affords a shared manipulation, wherein the physical robot can control and alter virtual objects in AR as an active agent; crucially, a robot can proactively interact with human agents, instead of purely passively executing received commands. In experiments, we design a resource collection game that qualitatively demonstrates how a robot perceives, processes, and manipulates in AR and quantitatively evaluates the efficacy of HRI using the shared AR workspace. We further discuss how the system can potentially benefit future HRI studies that are otherwise challenging. Comment: Accepted to IROS 2020 |
| Databáze: | OpenAIRE |
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