NDLI: Human-robot interaction and future industrial robotics applications

Content Provider	IEEE Xplore Digital Library
Author	Heyer, C.
Copyright Year	2010
Description	Author affiliation: ABB Strategic R&D for Oil, Gas and Petrochemicals, Oslo, 0553 Norway (Heyer, C.)
Abstract	Industrial robots, designed for performing operations quickly, repeatedly and accurately have a long heritage in the manufacturing industry, operating in relatively static environments and in large numbers. Trends in the oil and gas industry to improve safety and efficiency and reduce environmental impact suggest the use of industrial robotics. New developments in regions difficult or dangerous for humans to work in could be enabled with maintenance, inspection and repairs carried out by remotely-controlled industrial robots. This new application area highlights some difficulties with today's robots, as they do not adapt well to dynamic environments, do not offer rich human-robot interaction and are not simple for end-users to program. In addition, the oil and gas context presents a challenging work environment for robots as they are exposed to variable and often extreme weather and need to be safe for use alongside explosive hydrocarbons. As robots are introduced, issues of trust and accountability come to the fore as well as how they fit into organisational structures. If robots have too little autonomy, human operators will waste time attending to robots instead of attending to their work tasks. If robots are highly autonomous, situational awareness of plant activity is diminished. A balance needs to be struck to find a level of autonomy suitable for the task, the realistic capabilities of the automation, and the need to actively engage human operators in a constructive fashion. These issues also relate to what form the interface takes for remote or co-located robot control, as well as how information and activity is represented for remote operators. The contribution of this paper is a discussion of issues relating to human-robot interaction for future industrial robotics, in particular for the oil and gas industry
Starting Page	4749
Ending Page	4754
File Size	1099231
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5651294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Service robots Robot sensing systems Petroleum Humans Robot kinematics Automation
Content Type	Text
Resource Type	Article

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