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Research and Application of Intelligent Robot Electronic Coach System Based on AI Technology

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DOI: 10.23977/jeis.2021.060205 | Downloads: 18 | Views: 708


Yongming Zhang 1


1 Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210007, China

Corresponding Author

Yongming Zhang


With the development of national economy, China's highway transportation industry is growing rapidly, and the demand for motor vehicle drivers is increasing day by day. Driver schools all over the country have emerged at the historic moment. The electronic coaching system of intelligent robot based on AI technology combines the system model developed by electromagnetic induction technology, remote sensing technology, electronic lighting technology and many other technologies on the basis of electronic control. It uses intelligent sensors, AC/DC converters and many other electrical equipment, and uses electronic lighting display to remind driving school students that the driving position is wrong and correct the wrong driving route. Bring unprecedented convenience to the majority of driving school students, and let them get their driving licenses in a relaxed and active atmosphere.


AI; Intelligent robot; Electronic coaching system


Xiaoyu Xian, Yin Tian, Haichuan Tang, Qi LIU. Research and Application of Intelligent Robot Electronic Coach System Based on AI Technology. Journal of Electronics and Information Science (2021) 6: 27-34. DOI:


[1] Fernandez-Cervantes V, Neubauer N, Hunter B, et al. VirtualGym : A kinect-based system for seniors exercising at home. Entertainment Computing, no. 27, pp. 60-72, 2018.
[2] Liu M, Ma J, Lin L, et al. Intelligent assembly system for mechanical products and key technology based on internet of things. Journal of Intelligent Manufacturing, vol. 28, no. 2, pp, 271-299, 2017.
[3] Yang J, Gao Y, Ding Y, et al. Deep Learning Aided System Design Method for Intelligent Reimbursement Robot. IEEE Access, no. 99, pp, 1-1, 2019.
[4] Zhang J, Huang J, Chen W . Centralized management system of intelligent inspection robot based on wireless sensor. Microprocessors and Microsystems, no. 46, pp, 103409, 2020.
[5] Wang Wanliang, Zhu Yanliang, Wang Zheng, et al. Intelligent robot object detection algorithm based on spatial pyramid and integrated features. Computer integrated manufacturing system, vol. 023, no. 011, pp, 2382-2391, 2017.
[6] Hejazipoor H, Massah J, Soryani M , et al. An intelligent spraying robot based on plant bulk volume. Computers and Electronics in Agriculture, vol. 180, no. 3, pp, 105859, 2020.
[7] Huang Y A, H Wu, H Liu, et al. [Lecture Notes in Computer Science] Intelligent Robotics and Applications Volume 10462 A Novel Soft Robot Based on Organic Materials: Finite Element Simulation and Precise Control. no. 10, pp, 103-109, 2017.
[8] Scott, Moody. Design of an intelligent embedded system for condition monitoring of an industrial robot. Computing reviews, vol. 58, no. 7, pp, 403-404, 2017.
[9] Zhu X, Yi J, Ding H, et al. Velocity Obstacle Based on Vertical Ellipse for Multi-Robot Collision Avoidance. Journal of Intelligent & Robotic Systems, vol. 99, no. 1, pp, 183-208, 2020.
[10] Li D, Pan Z, Deng H, et al. 2D Underwater Obstacle Avoidance Control Algorithm Based on IB-LBM and APF Method for a Multi-Joint Snake-Like Robot. Journal of Intelligent & Robotic Systems, vol. 98, no. 3, pp, 771-790, 2020.

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