| Literature DB >> 33501110 |
Werner Alexander Isop1, Christoph Gebhardt2, Tobias Nägeli2, Friedrich Fraundorfer1, Otmar Hilliges2, Dieter Schmalstieg1,3.
Abstract
Exploration of challenging indoor environments is a demanding task. While automation with aerial robots seems a promising solution, fully autonomous systems still struggle with high-level cognitive tasks and intuitive decision making. To facilitate automation, we introduce a novel teleoperation system with an aerial telerobot that is capable of handling all demanding low-level tasks. Motivated by the typical structure of indoor environments, the system creates an interactive scene topology in real-time that reduces scene details and supports affordances. Thus, difficult high-level tasks can be effectively supervised by a human operator. To elaborate on the effectiveness of our system during a real-world exploration mission, we conducted a user study. Despite being limited by real-world constraints, results indicate that our system better supports operators with indoor exploration, compared to a baseline system with traditional joystick control.Entities:
Keywords: indoor exploration tasks; interactive scene topology; scene abstraction; search and rescue; teleoperation systems; telerobotics; unmanned aerial vehicles - UAV
Year: 2019 PMID: 33501110 PMCID: PMC7805862 DOI: 10.3389/frobt.2019.00095
Source DB: PubMed Journal: Front Robot AI ISSN: 2296-9144