INTERACTIVE ROBOTICS RESEARCH NETWORK

RESEARCH SUMMARY

INTRO aims to create a new generation of robotic researchers with a broad understanding of the research and technologies needed to build intelligent robots that function in close interaction with humans in unstructured, changing “real word” conditions. The training has a strong multidisciplinary approach complemented by specialized domain knowledge. Young researchers will work closely with industries, endowing them with insight and understanding of the industrial product life-cycle and valuable hands-on experience of top-level industrial robot development. By blending complementary skills, INTRO will improve the career perspectives of young researchers, in both academic and industrial sectors. This will be achieved through a transnational network of universities and robot companies, with senior researchers from different disciplines (robotics, artificial intelligence, cognitive sciences, human factors) coming from different ‘schools-of-thought’ (computer sciences, industrial engineering, psychology). Each PhD student will be stationed at one of the universities and will also undergo a secondment and visit other partners. The post-doctoral researchers will be stationed at one of the partner companies, with several visits to the other partners’ institutions. (taken from the project website)

PUBLICATIONS

Roy, S., & Edan, Y. 2017. Givers & Receivers perceive handover tasks differently: Implications for Human-Robot collaborative system design. journal of Social Robotics (accepted). arXiv preprint arXiv:1708.06207.

Jevtic, A., G. Doisy, Y. Parmet, Y. Edan. 2015. Comparison of Interaction Modalities for Mobile Indoor Robot Guidance: Direct Physical Interaction, Person Following and Pointing Control. IEEE Transactions on Human-Machine Systems 45(6): 653 – 663.

Doisy, G. , J. Meyer, Y. Edan. 2014 The impact of human-robot interface design on the use of a learning robot system. IEEE Transactions on Human-Machine Systems 44(6): 788-795.

Doisy, G., A. Ronen, Y. Edan. 2017.Comparison of three different techniques for camera and motion control of a teleoperated robot Applied Ergonomics 58: 527-534. Doi: 0.1016/j.apergo.2016.05.001.

R. Someshwar, J. Meyer, Y. Edan. 2012. Models and Methods for H-R Synchronization. Paper No. 250, INCOM 2012, 14th IFAC Symposium on Information Control Problems in Manufacturing, May 23-25, Bucharest, Romania.

Sayfeld, L., Peretz, Y., Someshwar, R., Edan, Y. 2015. Evaluation of Human-Robot Collaboration Models for Fluent Operations in Industrial Tasks. Human - Robot Handover, planning, control, social signals workshop, Robotics Science and Systems Conference, RSS 2015, Sapienza University of Rome, Rome, Italy, July 13-17, 2015.

Someshwar, R., Joachim Meyer, Yael Edan. 2012. A Timing Control Model for H-R Synchronization. Paper No. 134, SYROCO 2012, 10th IFAC Symposium on Robot Control, Dubrovnik, Croatia, September 5-7, 2012.

Doisy, G., Meyer, J., Edan, Y. 2011. Toward an ecological approach to interface design for teaching robots. Towards Autonomous Robotic Systems, Proceedings of the 12th Annual TAROS Conference: 420-421, Sheffield, UK August September 2011. Edited by: R. Grob, L. Alboul, C. Elhuish, M. Witkowisk, T.J. Prescott, J. Penders. Springer.

G. Doisy, A. Jevtić, E. Lucet, Y. Edan. 2012. Adaptive Person-Following Algorithm Based on Depth Images and Mapping. In: Proceedings of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-time, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal, 7-12 October 2012.

Doisy, G., Meyer, J, Edan, Y. 2013. Interface Design for Learning Robots, 4th Israeli Conference on Robotics, Tel Aviv, Israel.

Doisy, G., Jevtić, A., Bodiroža, S., Edan, Y. 2013. Spatially Unconstrained Natural Interface for Controlling a Mobile Robot, 4th Israeli Conference on Robotics, Tel Aviv, Israel

Doisy, G., Jevtić, A., Lucet, E., Edan, Y. 2012. Adaptive Person-Following Algorithm Based on Depth Images and Mapping, in Proceedings of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-time, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura, Portugal.

Doisy, G., Meyer, J., Edan, Y. 2011. Toward an ecological approach to interface design for teaching robots. Towards Autonomous Robotic Systems, 420-421.

Jevtic, A., Doisy, G., Bodiroza, S., Edan, Y., Hafner, V. V. 2014. Human-Robot Interaction through 3D Vision and Force Control. In Proceedings of the 9th ACM/IEEE international conference on Human-robot interaction.

THESIS

Roy Someshwar, Ph.D., Human-robot synchronization for time-critical tasks, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, June 2017. (with Prof. J. Meyer). Link

Guillaume Doisy, Ph.D., Human robot interface design for robots with learning capabilities, Dept. of Industrial Engineering and Management, Ben-Gurion University of the Negev, October 2014. (with Joachim Meyer). Link