Abstract
Nowadays, mobile robots have been popular not only in industrial applications such as materials transportation but also in non-industrial applications, e.g., human assistance. Among developed configurations, omnidirectional mobile robots have attracted great attention in recent times due to their superior maneuverability over their conventional counterparts. In this research, an application of a four mecanum-wheeled omnidirectional mobile robot (4-MWMR) in human assistance has been developed. By using image processing, the 4-MWMR is capable of following an authorized person, thereby assisting users in transporting large-size or heavy-weight materials. Good experimental results show the ability of the developed system to be used in practice.
This research is funded by the Hanoi University of Science and Technology (HUST) under project number T2022-PC-005.
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This research is funded by the Hanoi University of Science and Technology (HUST) under project number T2022-PC-005.
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Nguyen, T.C., Bui, T.N., Nguyen, V.N., Nguyen, D.P., Nguyen, C.M., Nguyen, M.L. (2023). Interactive Control Between Human and Omnidirectional Mobile Robot: A Vision-Based Deep Learning Approach. In: Nguyen, T.D.L., Verdú, E., Le, A.N., Ganzha, M. (eds) Intelligent Systems and Networks. ICISN 2023. Lecture Notes in Networks and Systems, vol 752. Springer, Singapore. https://doi.org/10.1007/978-981-99-4725-6_66
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