Abstract
Human-robot interaction (HRI) becomes one of the new technology coming into people’s sight in recent years. A natural way to interact with robots is crucial in creating more intelligent robots. This paper shows a novel way to control and communicate with robots by monitoring live video captured from camera and doing voice interaction on web. Control commands from web are sent to control robots via Robot Operating System (ROS). The HRI process relies totally on web, users can interact with robots as long as they can connect to the wi-fi shared by robots.
This research was partially supported by the National Natural Science Foundation of China under Grant No. 61473038.
This is a preview of subscription content, log in via an institution.
References
Kosuge, K., Hirata, Y.: Human-robot interaction. In: IEEE International Conference on Robotics and Biomimetics, ROBIO, pp. 8–11. IEEE (2004)
Gallardo-Estrella, L., Poncela, A.: Human/robot interface for voice teleoperation of a robotic platform. Lect. Notes Comput. Sci. 6691, 240–247 (2011)
Ido, J., Takemura, K., Matsumoto, Y., Ogasawara, T.: Robotic receptionist aska: a research platform for human-robot interaction. In: 11th IEEE International Workshop on Robot and Human Interactive Communication, Proceedings, pp. 306–311 (2002)
Du, G.L., Zhang, P., Yang, L.Y., Su, Y.B.: Robot teleoperation using a vision-based manipulation method. In: International Conference on Audio Language and Image Processing, pp. 945–949 (2010)
Rai, R.: Socket. IO Real-Time Web Application Development. Packt Publishing Ltd., Mumbai (2013)
Johnston, A.B., Burnett, D.C.: WebRTC: APIs and RTCWEB protocols of the HTML5 real-time web. Digital Codex LLC (2012)
Ephraim, Y., Malah, D.: Speech enhancement using a minimum mean-square error log-spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. 33(2), 443–445 (1985)
Zhang, Y., Liu, Y.: An improved MMSE-LSA speech enhancement algorithm based on human auditory masking property. In: 2013 International Conference on Asian Language Processing, pp. 151–154. IEEE (2013)
Benesty, J., Amand, F., Gilloire, A., Grenier, Y.: Adaptive filtering algorithms for stereophonic acoustic echo cancellation, vol. 5, no. 5, pp. 3099–3102 (1995)
Gilloire, A., Vetterli, M.: Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation. IEEE Trans. Signal Process. 40(8), 1862–1875 (1992)
Wikipedia, Least mean squares filter – wikipedia, the free encyclopedia (2017). https://en.wikipedia.org/w/index.php?title=Least_mean_squares_filter&oldid=782836501
Paleologu, C., Ciochină, S., Benesty, J., Grant, S.L.: An overview on optimized NLMS algorithms for acoustic echo cancellation. EURASIP J. Adv. Signal Process. 2015(1), 1 (2015)
Xu, Y., Song, Y., Long, Y.-H., Zhong, H.-B., Dai, L.-R.: The description of iFlyTek speech lab system for NIST2009 language recognition evaluation. In: 7th International Symposium on Chinese Spoken Language Processing, pp. 157–161. IEEE (2010)
Lu, J., Miao, H.-T.: Applying cool edit Pro in EFL speaking and listening teaching research. Comput. Assist. Foreign Lang. Educ. Chin. 2, 82–97 (2008)
Poncela, A., Gallardo-Estrella, L.: Command-based voice teleoperation of a mobile robot via a human-robot interface. Robotica 33(1), 1–18 (2014)
Cousins, S.: Welcome to ROS topics [ROS topics]. IEEE Rob. Autom. Mag. 17(1), 13–14 (2010)
Castro, J.D.: Arch linux. In: Introducing Linux Distros, pp. 235–252. Springer, New York (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Shi, J., Ma, H., Zhao, J., Liu, Y. (2017). Web-Based Human Robot Interaction via Live Video Streaming and Voice. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10462. Springer, Cham. https://doi.org/10.1007/978-3-319-65289-4_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-65289-4_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65288-7
Online ISBN: 978-3-319-65289-4
eBook Packages: Computer ScienceComputer Science (R0)