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Mobile Detecting Robot Controlled by Smartphone Based on iOS

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DOI: 10.4236/eng.2014.612073    3,043 Downloads   3,772 Views   Citations
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Hou-Tsan Lee*, Hsiang-Lin Tsai, Zhong-Quan Chen, Yu-Ting Jiang


Department of Information Technology, Takming University of Science and Technology, Taipei, Taiwan.


The proposed scheme is composed of a smartphone, a vehicle equipped with Wi-Fi module and an IPCam working as a detecting robot to explore the unknown environment. Besides, another vehicle equipped with Wi-Fi module is also developed as a trunk robot to extend the detecting range. On the other hand, these vehicles are designed to be driven by the smartphone based on iOS (an iPod Touch in the experiments) via Wi-Fi module along with some proper designs of control circuit mounted on the vehicles. By the audio-visual feedback signals from IPCam, the real-time scenario from the detecting area not only can be shown on the screen of the smartphone but also provides the information of the detected environment in order to guide the robot. Two control approaches were provided in the proposed control scheme, the touch-panel control and the smartphone-status control, to drive the vehicles with the help of visual feedback on the screen of the smartphone. Moreover, the trajectories of the robots were also recorded for further applications. Some experimental results are given to validate the satisfactory performance of the proposed control scheme.


Mobile Robot, Smartphone Controlled, iOS, Wi-Fi

Cite this paper

Lee, H. , Tsai, H. , Chen, Z. and Jiang, Y. (2014) Mobile Detecting Robot Controlled by Smartphone Based on iOS. Engineering, 6, 750-757. doi: 10.4236/eng.2014.612073.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Lee, H.-T., et al. (2012) Mobile Detecting Robot with IPCam Feedback. Proceedings of SICE Annual Conference, Akita, 20-23 August 2012, 1969-1973.
[2] Yu, M.-S., Wu, H. and Lin, H.-Y. (2010) A Visual Surveillance System for Mobile Robot Using Omnidirectional and PTZ Cameras. Proceedings of SICE Annual Conference, Taipei, 18-21 August 2010, 37-42.
[3] Bradski, G., Kaehler, A. and Pisarevsky, V. (2005) Learning-Based Computer Vision with Intel’s Open Source Computer Vision Library. Intel Technology Journal, 9, 119-131.
[4] Luo, R.C., Liao, Y.T., Lai, C.T. and Tsai, C.C. (2007) NCCU Security Warrior: An Intelligent Security Robot System. 33rd Annual Conference of the IEEE Industrial Electronics Society, Taipei, 5-8 November 2007, 2960-2965.
[5] Ku, C.-H. and Cheng, Y.-C. (2007) Remote Surveillance by Network Robot Using WLAN and Mobile IPv6 Techniques. IEEE Region 10 Conference TENCON, Taipei, 30 October-2 November 2007, 1-4.
[6] Haddad, E.C. and Gregoire, J.-C. (2009) Implementation Issues for the Deployment of a WMN with a Hybrid Fixed/ Cellular Backhaul Network in Emergency Situations. 1st International Conference on Wireless VITAE 2009, Aalborg, 17-20 May 2009, 525-529.
[7] Xavier, B. and Christensen, L. (2006) Cellular/Wi-Fi Multi-Mode Systems. 2006 IEEE Radio and Wireless Symposium, 17-19 January 2006, 3-6.
[8] Bappu, B., Tay, J. and Obradovic, M. (2005) Incentives Evaluation in 2-Hop Relay enabled Wi-Fi Hotspots. EUROCON 2005, Belgrade, 21-24 November 2005, 1834-1837.
[9] Kim, J.-O., Tanigawa, Y. and Tode, H. (2010) Enhancing Downlink Multimedia QoS in Wi-Fi Hotspot Networks. 8th IEEE International Conference on Industrial Informatics (INDIN), Osaka, 13-16 July 2010, 1049-1053.
[10] Niyato, D. and Hossain, E. (2007) Wireless Broadband Access: WiMAX and Beyond—Integration of WiMAX and Wi-Fi: Optimal Pricing for Bandwidth Sharing. IEEE Communications Magazine, 45, 140-146.
[11] Mostofi, Y. (2012) Cooperative Wireless-Based Obstacle/Object Mapping and See-Through Capabilities in Robotic Networks. IEEE Transactions on Mobile Computing, 12, 817-829.
[12] Zhao, Y.-G., Cheng, W. and Liu, G.-L. (2012) The Navigation of Mobile Robot Based on Stereo Vision. Fifth International Conference on Intelligent Computation Technology and Automation (ICICTA), Zhangjiajie, 12-14 January 2012, 670-673.
[13] Tamas, L. and Marcu, C. (2011) Detection and Tracking Experiments in Various Environments. 15th International Conference on Advanced Robotics (ICAR), Tallinn, 20-23 June 2011, 180-185.

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