Abstract
In this article, we present a communication paradigm using a context-aware mixed-reality approach for instructing human workers when collaborating with robots. The main objective is to utilize the physical work environment as a canvas to communicate task-related instructions and robot intentions in the form of visual cues. A vision-based object-tracking algorithm is used to precisely determine the pose and state of physical objects in and around the workspace. A projection-mapping technique is employed to overlay visual cues on the tracked objects and the workspace. Simultaneous tracking and projection onto objects enable the system to provide just-in-time instructions for carrying out a procedural task.
Original language | English (US) |
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Pages (from-to) | 59-71 |
Number of pages | 13 |
Journal | IEEE Robotics and Automation Magazine |
Volume | 25 |
Issue number | 2 |
DOIs | |
State | Published - Jun 2018 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering