Abstract
The intelligent robots have been participating in people’s work increasingly, and challenging to accomplish work autonomously with fully understand human intention through voice interaction. We proposed a robot architecture of hierarchical finite state machine (HFSM) for autonomous mobile manipulator which run on robot operating system (ROS). The system has the abilities to analyze user’s input information, communicate with user to obtain complete intention when the user’s intention is incomplete and transfer the intention to mission plan for executing of tasks. In this paper, we described the operation procedure of system and each component, and designed the experiment scenario to verify the feasibility of the proposed architecture. The experiments result showed our autonomous mobile manipulator achieve the high performance of automation of tasks.
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References
Rossi, S., Leone, E., Fiore, M., et al.: An extensible architecture for robust multimodal human-robot communication. In: 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2208–2213. IEEE Press, New Jersey (2013)
Ma, Q., Zou, Y., Zhang, T.: Study of service robot architecture based on middleware and abstract environment. In: 2012 IEEE International Conference on Robotics and Biomimetics, pp. 1200–1205. IEEE Press, Washington DC (2012)
Foukarakis, M., Leonidis, A., Antona, M., et al.: Combining finite state machine and decision-making tools for adaptable robot behavior. In: 8th International Conference on Universal Access in Human-Computer Interaction, pp. 625–635. Springer Verlag, New York (2014)
Nguyen, H., Ciocarlie, M., Hsiao, K., et al.: ROS commander (ROSCO): behavior creation for home robots. In: 2013 IEEE International Conference on Robotics and Automation, pp. 467–474. IEEE Press, New Jersey (2013)
Li, Q., Meier, M., Haschke, R., et al.: Object dexterous manipulation in hand based on finite state machine. In: 2012 9th IEEE International Conference on Mechatronics and Automation, pp. 1185–1190. IEEE Computer Society Press, Washington DC (2012)
Park, H.W., Ramezani, A., Grizzle, J.W.: A finite-state machine for accommodating unexpected large ground-height variations in bipedal robot walking. IEEE Trans. Robot. 29(2), 331–345 (2013)
Da, X., Hartley, R., Grizzle, J.W.: First steps toward supervised learning for underactuated bipedal robot locomotion, with outdoor experiments on the wave field. In: 2017 IEEE International Conference on Robotics and Automation. IEEE Press, New Jersey (2017)
Kurt, A., Özgüner, Ü.: Hierarchical finite state machines for autonomous mobile systems. Control Eng. Pract. 21, 184–194 (2013)
Jayawardena, C., Kuo, I.H., Broadbent, E., et al.: Socially assistive robot healthbot: design, implementation, and field trials. IEEE Syst. J. 10(3), 1056–1067 (2016)
Lin, Y., Min, H., Zhou, H., et al.: A RGB-D sensor and speech interaction based object manipulation system with improved CBR-BDI reasoning. In: 2017 IEEE International Conference on Control and Automation. IEEE Computer Society Press, Washington DC (2017)
Pocketsphinx Homepage. http://cmusphinx.sourceforge.net/wiki/. Accessed 16 June 2016
Ekho Chinese Text-to-Speech Software Homepage. http://www.eguidedog.net/cn/ekho_cn.php. Accessed 16 June 2016
Guo, Q.: The similarity computing of documents based on VSM. In: 32nd Annual IEEE International Computer Software and Applications Conference, pp. 585–586. IEEE Press, New Jersey (2008)
ROS Package Depthimage to Laserscan Homepage. http://wiki.ros.org/depthimage_to_laserscan. Accessed 16 June 2016
Omara, H.I.M.A., Sahari, K.S.M.: Indoor mapping using kinect and ROS. In: 1st International Symposium on Agents. Multi-Agent Systems and Robotics, pp. 110–116. IEEE press, New York (2015)
Tombari, F., Salti, S., Di, S.L.: A combined texture-shape descriptor for enhanced 3D feature matching. In: 2011 18th IEEE International Conference on Image Processing, pp. 809–812. IEEE Press, New Jersey (2011)
Zhong, Y.: Intrinsic shape signatures: a shape descriptor for 3D object recognition. In: 2009 IEEE 12th International Conference on Computer Vision Workshops, pp. 689–696. IEEE Press, New Jersey (2009)
Karaman, S., Walter, M.R., Perez, A., et al.: Anytime motion planning using the RRT. In: 2011 IEEE International Conference on Robotics and Automation, pp. 1478–1483. IEEE Press, New Jersey (2011)
Acknowledgements
This work is supported by Natural Science Foundation of China. (Project No. 61673304) and (Project No. 61175094).
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Zhou, H., Min, H., Lin, Y., Zhang, S. (2017). A Robot Architecture of Hierarchical Finite State Machine for Autonomous Mobile Manipulator. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_39
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DOI: https://doi.org/10.1007/978-3-319-65298-6_39
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