First Application of Robot Teaching in an Existing Industry 4.0 Environment: Does It Really Work?

This article reports three case studies on the usability and acceptance of an industrial robotic prototype in the context of human-robot cooperation. The three case studies were conducted in the framework of a two-year project named AssistMe, which aims at developing different means of interaction for programming and using collaborative robots in a user-centered manner. Together with two industrial partners and a technological partner, two different application scenarios were implemented and studied with an off-the-shelf robotic system. The operators worked with the robotic prototype in laboratory conditions (two days), in a factory context (one day) and in an automotive assembly line (three weeks). In the article, the project and procedures are described in detail, including the quantitative and qualitative methodology. Our results show that close human-robot cooperation in the industrial context needs adaptive pacing mechanisms in order to avoid a change of working routines for the operators and that an off-the-shelf robotic system is still limited in terms of usability and acceptance. The touch panel, which is needed for controlling the robot, had a negative impact on the overall user experience. It creates a further intermediate layer between the user, the robot and the work piece and potentially leads to a decrease in productivity. Finally, the fear of the worker of being replaced by an improved robotic system was regularly expressed and adds an additional anthropocentric dimension to the discussion of human-robot cooperation, smart factories and the upcoming Industry 4.0.

[1]  Katharina J. Rohlfing,et al.  Systemic Interaction Analysis (SInA) in HRI , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[2]  Ole Madsen,et al.  Autonomous Industrial Mobile Manipulation (AIMM): From Research to Industry , 2011 .

[3]  O. Iordache Societies , 1877, Restoration & Management Notes.

[4]  Manfred Tscheligi,et al.  Anthropomorphism in the factory - a paradigm change? , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[5]  Germano Veiga,et al.  Programming-by-demonstration in the coworker scenario for SMEs , 2009, Ind. Robot.

[6]  Manfred Tscheligi,et al.  Exploring human-robot cooperation possibilities for semiconductor manufacturing , 2011, 2011 International Conference on Collaboration Technologies and Systems (CTS).

[7]  Manfred Tscheligi,et al.  The USUS Evaluation Framework for Human-Robot Interaction , 2009 .

[8]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[9]  Gerhard Ebenhofer,et al.  A Plug & Produce Approach to Design Robot Assistants in a Sustainable Manufacturing Environment , 2012 .

[10]  Linda Bonekamp,et al.  Consequences of Industry 4.0 on Human Labour and Work Organisation , 2015 .

[11]  Kagermann Henning Recommendations for implementing the strategic initiative INDUSTRIE 4.0 , 2013 .

[12]  Martin Haegele,et al.  From Robots to Robot Assistants , 2001 .

[13]  Antonio Bicchi,et al.  An atlas of physical human-robot interaction , 2008 .

[14]  Michael Hofmann,et al.  Flexible and Assistive Quality Checks with Industrial Robots , 2014, ISR 2014.

[15]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[16]  Astrid Weiss,et al.  User Experience of a Smart Factory Robot: Assembly Line Workers Demand Adaptive Robots , 2016, ArXiv.

[17]  John Norrish,et al.  Recent Progress on Programming Methods for Industrial Robots , 2010, ISR/ROBOTIK.

[18]  Norbert Elkmann,et al.  Tactile sensing: A key technology for safe physical human robot interaction , 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[19]  Manfred Tscheligi,et al.  Robots in Time: How User Experience in Human-Robot Interaction Changes over Time , 2013, ICSR.

[20]  M. Hagele,et al.  rob@work: Robot assistant in industrial environments , 2002, Proceedings. 11th IEEE International Workshop on Robot and Human Interactive Communication.

[21]  Manfred Tscheligi,et al.  User Experience Research in the Semiconductor Factory: A Contradiction? , 2011, INTERACT.

[22]  Mads Hvilshøj,et al.  “Little Helper” — An Autonomous Industrial Mobile Manipulator Concept , 2011 .

[23]  Manfred Tscheligi,et al.  Evaluating in real life robotic environment: Bringing together research and practice , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

[24]  Dana Kulic,et al.  Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots , 2009, Int. J. Soc. Robotics.

[25]  Manfred Tscheligi,et al.  Looking Forward to a “Robotic Society”? , 2011, Int. J. Soc. Robotics.

[26]  Mariko Yamada,et al.  Development of teaching pendant optimized for robot application , 2009, 2009 IEEE Workshop on Advanced Robotics and its Social Impacts.

[27]  Sonja Stork,et al.  Kognitive Assistenzsysteme in der Manuellen Montage , 2007 .

[28]  Manfred Tscheligi,et al.  Affect Misattribution Procedure: An implicit technique to measure user experience in HRI , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[29]  宋慧欣 Universal Robots:中国将主导世界机器人市场 , 2012 .

[30]  Neil Robertson,et al.  LOCOBOT - Low Cost Toolkit for Building Robot Co-workers in Assembly Lines , 2012, ICIRA.

[31]  Keng Peng Tee,et al.  Towards Industrial Robot Learning from Demonstration , 2015, HAI.

[32]  Boris Otto,et al.  Design Principles for Industrie 4.0 Scenarios , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[33]  T. Kanda,et al.  Measurement of negative attitudes toward robots , 2006 .

[34]  Takashi Minato,et al.  Physical Human-Robot Interaction: Mutual Learning and Adaptation , 2012, IEEE Robotics & Automation Magazine.

[35]  Christian Meyer Aufnahme und Nachbearbeitung von Bahnen bei der Programmierung durch Vormachen von Industrierobotern , 2011 .

[36]  J. Edward Colgate,et al.  Cobot architecture , 2001, IEEE Trans. Robotics Autom..

[37]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[38]  Andrea Bunt,et al.  Women and Men Collaborating with Robots on Assembly Lines: Designing a Novel Evaluation Scenario for Collocated Human-Robot Teamwork , 2015, HAI.

[39]  Geoffrey Biggs,et al.  A Survey of Robot Programming Systems , 2010 .

[40]  Oliver Niggemann,et al.  Systemkomplexität in der Automation beherrschen , 2012 .

[41]  Lauralee Alben,et al.  Quality of experience: defining the criteria for effective interaction design , 1996, INTR.

[42]  M Bovenzi,et al.  Health effects of mechanical vibration. , 2005, Giornale italiano di medicina del lavoro ed ergonomia.

[43]  E. Gambao,et al.  A new generation of collaborative robots for material handling , 2012 .

[44]  Manfred Tscheligi,et al.  I Trained this robot: The impact of pre-experience and execution behavior on robot teachers , 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

[45]  Florian Röhrbein,et al.  Industry-academia collaborations in robotics: Comparing Asia, Europe and North-America , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[46]  Aude Billard,et al.  A survey of Tactile Human-Robot Interactions , 2010, Robotics Auton. Syst..

[47]  Jeff Sauro,et al.  The Factor Structure of the System Usability Scale , 2009, HCI.