Human-Robot Collaboration Using Industrial Robots

Human-Robot Collaboration aims at exploiting the different but complementary skills of both the human worker and the programmable machine. It requires a high degree of interaction between the two actors and it is accomplished by special devoted robots. The study shows it is possible to redesign existing industrial robotic cells for executing a number of collaborative actions, respecting safety requirements.

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

[2]  Alin Albu-Schäffer,et al.  The KUKA-DLR Lightweight Robot arm - a new reference platform for robotics research and manufacturing , 2010, ISR/ROBOTIK.

[3]  Giulia Bruno,et al.  Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge , 2014, APMS.

[4]  Giulia Bruno,et al.  Applicability of Human-Robot Collaboration to Small Batch Production , 2016, PRO-VE.

[5]  Tamas Haidegger,et al.  Extensions to the core ontology for robotics and automation , 2015 .

[6]  Sébastien Gérard,et al.  Towards a core ontology for robotics and automation , 2013, Robotics Auton. Syst..

[7]  Saeed Yahyanejad,et al.  YuMi, Come and Play with Me! A Collaborative Robot for Piecing Together a Tangram Puzzle , 2016, ICR.

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

[9]  Sotiris Makris,et al.  Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach , 2010 .

[10]  Giulia Bruno.  Semantic organization of product lifecycle information through a modular ontology , 2015 .

[11]  Brett Browning,et al.  A survey of robot learning from demonstration , 2009, Robotics Auton. Syst..

[12]  Dario Antonelli,et al.  FREE: Flexible and Safe Interactive Human-Robot Environment for Small Batch Exacting Applications , 2014, Technology Transfer Experiments from the ECHORD Project.

[13]  Zhang Caiming,et al.  Curves reconstruction from ordered point cloud data , 2010, 2010 The 2nd Conference on Environmental Science and Information Application Technology.