Abstract
To bridge the gap between humans and robots, there is a need to focus on the development of technology that can enhance the collaboration between the human and the robot (SRC). This research paper elaborates on a human interactive experiment of vision-based sorting of objects (candy) using a 3R serial spatial collaborative manipulator, used as an exhibit at the annual public ‘Open Day’ event at the Indian Institute of Science Bangalore. We collected feedback from the vast & variety of audience (mostly children and adult) and used this data to compute various human-robot collaboration parameters. 66.67% of the participants who were shown the demonstration demonstrated over 90% effectiveness in interaction during the sorting task as defined above. It was also statistically shown that there was no significant difference in the effectiveness between researchers and non-researchers who took part in the experiment.
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References
Robla-Gómez, S., Becerra, V.M., Llata, J.R., González-Sarabia, E., Torre-Ferrero, C., Pérez-Oria, J.: Working together: a review on safe human-robot collaboration in industrial environments. IEEE Access 5, 26754–26773 (2017)
Anuar, S., Baharuddin, A.B., Mohammad, A.: Lego bricks color sorting machine. In: 2016 2nd International Symposium on Agent, Multi-agent Systems and Robotics (ISAMSR) (2016)
Wang, J., Hu, H., Chen, L., He, C.: Assembly defect detection of atomizers based on machine vision. In: CACRE 2019, Shenzhen, China (2019)
Wang, W., et al.: Measurement system of gear parameters based on machine vision. Meas. Control 48(8), 242–248 (2015)
Peng, G., Zhang, Z., Li, W.: Computer vision algorithm for measurement and inspection of O-rings. Measurement 94, 828–836 (2016)
Murphy, R.R., Schreckenghost, D.: Survey of metrics for human-robot interaction. In: 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE (2013)
Bensch, S., Jevtic, A., Hellström, T.: On interaction quality in human-robot interaction. In: ICAART 2017 Proceedings of the 9th International Conference on Agents and Artificial Intelligence, vol. 1. SciTePress (2017)
Robb, D.A., et al.: Robots in the danger zone: exploring public perception through engagement. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (2020)
Foster, M.E. et al.: The MuMMER project: engaging human-robot interaction in real-world public spaces. In: Agah, A., Cabibihan, J.J., Howard, A., Salichs, M., He, H. (eds.) Social Robotics. ICSR 2016. LNCS, vol. 9979, pp. 753–763. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_74
Savela, N., Turja, T., Oksanen, A.: Social acceptance of robots in different occupational fields: a systematic literature review. Int. J. Soc. Robot. 10(4), 493–502 (2018)
Kim, M.-G., et al.: Effectiveness of robot exhibition through visitors experience: a case study of Nagoya Science Hiroba exhibition in Japan. In: 2016 International Symposium on Micro-NanoMechatronics and Human Science (MHS). IEEE (2016)
Kim, M.G., Lee, H., Lee, J., Kwak, S.S., Joo, Y.: Effectiveness and service quality of robot museum through visitors experience: a case study of RoboLife Museum in South Korea. In: 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp.1–5. IEEE (2015)
Moro, C., et al.: Social robots and seniors: a comparative study on the influence of dynamic social features on human–robot interaction. Int. J. Soc. Robot. 11(1), 5–24 (2019)
Erdogan, K., Yilmaz, N.: Shifting colors to overcome not realizing objects problem due to color vision deficiency.In: 2nd International Conference on Advances in Computing, Electronics and Electrical Technology - CEET. Kuala Lumpur, Malaysia (2014). https://doi.org/10.15224/978-1-63248-034-7-27
Acknowledgment
This project is funded by Samarth Udyog, Common Engineering Facility Centre (CEFC) CPDM, IISc, Bangalore; Department of Heavy Industries (DHI), Govt. of India.
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Kaushik, B., Chowdhury, A.R. (2023). Experiment of Social Robot Collaboration (SRC): Vision-Based Object Segmentation, Localization and Segregation in a Public Interaction Event. In: Cascalho, J.M., Tokhi, M.O., Silva, M.F., Mendes, A., Goher, K., Funk, M. (eds) Robotics in Natural Settings. CLAWAR 2022. Lecture Notes in Networks and Systems, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-031-15226-9_43
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DOI: https://doi.org/10.1007/978-3-031-15226-9_43
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