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Academic Journal of Computing & Information Science, 2022, 5(1); doi: 10.25236/AJCIS.2022.050105.

The idea of artificial intelligence guidance algorithm suitable for multiple robot platforms


Haoyu Yan

Corresponding Author:
Haoyu Yan

Amberson High Scool, Markham, Canada


This article aims to propose an artificial intelligence guidance algorithm that can be applied to multiple robot platforms and address the navigation needs of the blind. With this idea, the blind guide device can be more efficient, more convenient, and less expensive.


Artificial Intelligence, guidance algorithm

Cite This Paper

Haoyu Yan. The idea of artificial intelligence guidance algorithm suitable for multiple robot platforms. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 1: 23-25. https://doi.org/10.25236/AJCIS.2022.050105.


[1] Bai, J., Liu, D., Su, G. and Fu, Z., 2017, April. A cloud and vision-based navigation system used for blind people. In Proceedings of the 2017 International Conference on Artificial Intelligence, Automation and Control Technologies (pp. 1-6).

[2] Crawford, K. and Calo, R., 2016. There is a blind spot in AI research. Nature News, 538(7625), p.311.

[3] Galloway, C. and Swiatek, L., 2018. Public relations and artificial intelligence: It’s not (just) about robots. Public relations review, 44(5), pp.734-740.

[4] Gao Z., Zhang, D. and Ge, Y., 2010. Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches. Robotics and Computer-Integrated Manufacturing, 26(2), pp.180-189.

[5] Mekhalfi, M.L., Melgani, F., Zeggada, A., De Natale, F.G., Salem, M.A.M. and Khamis, A., 2016. Recovering the sight to blind people in indoor environments with smart technologies. Expert systems with applications, 46, pp.129-138.

[6] Thomaz, A.L. and Breazeal, C., 2008. Teachable robots: Understanding human teaching behavior to build more effective robot learners. Artificial Intelligence, 172(6-7), pp.716-737.

[7] Vishwakarma, M., Singh, H.P., Kumar, N. and Arora, M., 2021. The Need of Smart Guidance Systems for Blind People in the World. In Proceedings of International Conference on Big Data, Machine Learning and their Applications (pp. 191-195). Springer, Singapore.

[8] Qi Y, Ke Y. Fast Path Planning for On-Water Automatic Rescue Intelligent Robot Based on Constant Thrust Artificial Fluid Method[J]. Scientific Programming, 2020, 2020(1):1-13.

[9] Haiyang L I. Reliability Evaluation of Bearings in theIntelligent Robot for Changing the Hobwithout Failure Data [J]. Journal of Mechanical Engineering, 2019, 55(2):186.

[10] V, B, Melekhin. Model of Representation and Acquisition of New Knowledge by an Autonomous Intelligent Robot Based on the Logic of Conditionally Dependent Predicates [J]. Journal of Computer and Systems Sciences International, 2019, 58(5):747–765.

[11] Zhang, X., J. Zhang, and J. Zhong. "Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory." Complexity 2017(2017):1-16.

[12] Yao, C., et al. "[IEEE 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) - Wuhan, China (2017.6.16-2017.6.18)] 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS) - Research on the UAV multi-channel human-machine interaction system." (2017):190-195.