Interactive Control Between Human and Omnidirectional Mobile Robot: A Vision-Based Deep Learning Approach
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4725-6_66
Reference18 articles.
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2. Taheri, H., Zhao, C.X.: Omnidirectional mobile robots, mechanisms and navigation approaches. Mech. Mach. Theory 153, 103958 (2020). https://doi.org/10.1016/j.mechmachtheory.2020.103958. ISSN 0094-114X
3. Cebollada, S., Payá, L., Flores, M., Peidró, A., Reinoso, O.: A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data. Expert Syst. Appl. 167, 114195 (2021). https://doi.org/10.1016/j.eswa.2020.114195. ISSN 0957-4174
4. L. Payá, A. Gil, O. Reinoso: A state-of-the-art review on mapping and localization of mobile robots using omnidirectional vision sensors. J. Sens. 20 (2017). Article ID 3497650. https://doi.org/10.1155/2017/3497650
5. Panigrahi, P.K., Bisoy, S.K.: Localization strategies for autonomous mobile robots: a review. J. King Saud Univ. Comput. Inf. Sci. 34(8), 6019–6039 (2022). https://doi.org/10.1016/j.jksuci.2021.02.015. ISSN 1319-1578
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