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Title: Authr: A Task Authoring Environment for Human-Robot Teams
Collaborative robots promise to transform work across many industries and promote “human-robot teaming” as a novel paradigm. However, realizing this promise requires the understanding of how existing tasks, developed for and performed by humans, can be effectively translated into tasks that robots can singularly or human-robot teams can collaboratively perform. In the interest of developing tools that facilitate this process we present Authr, an end-to-end task authoring environment that assists engineers at manufacturing facilities in translating existing manual tasks into plans applicable for human-robot teams and simulates these plans as they would be performed by the human and robot. We evaluated Authr with two user studies, which demonstrate the usability and effectiveness of Authr as an interface and the benefits of assistive task allocation methods for designing complex tasks for human-robot teams. We discuss the implications of these findings for the design of software tools for authoring human-robot collaborative plans.  more » « less
Award ID(s):
1925043 1651129 1426824
PAR ID:
10198129
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
UIST '20: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
Page Range / eLocation ID:
1194 to 1208
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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