Abstract
With the rapid development of Artificial Intelligence (AI), related education and teaching activities need to be followed up urgently. Robotics curriculum system and teaching pattern related to AI also need to be innovated and reformed. In this case, we designed the robot software engineering course, which includes robotic core functions: navigation, vision, speech interaction and manipulator operation, etc. To accelerate novice learners to grasp the basic knowledge about AI, we developed the universal robotic platform based on ROS, and apply it to a variety of specific environments and scenarios. To investigate the effect of the proposed education method, we provided opportunities for the novice learners to attend the International RoboCup Competitions, and obtained not only the Champion but also a serial of remarkable achievements.
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Acknowledgements
This work was supported by the National Key R&D Program of China (No. 2017YFE0129700), the National Natural Science Foundation of China (Key Program) (No. 11932013), the National Natural Science Foundation of China (No. 61673224), the Tianjin Natural Science Foundation for Distinguished Young Scholars (No. 18JCJQJC46100), and the Tianjin Science and Technology Plan Project (No. 18ZXJMTG00260).
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Zhang, L., Yu, Y., Kang, F., Duan, F. (2022). A ROS-Based Universal Robotic Platform for Artificial Intelligence Education. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_99
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DOI: https://doi.org/10.1007/978-981-15-8155-7_99
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