Mapping and Path Planning for the Differential Drive Wheeled Mobile Robot in Unknown Indoor Environments Using the Rapidly Exploring Random Tree Method-Reference-Cited by-同舟云学术

Mapping and Path Planning for the Differential Drive Wheeled Mobile Robot in Unknown Indoor Environments Using the Rapidly Exploring Random Tree Method

Published:2022 Issue: Volume: Page:516-527
ISSN:2195-4356
Container-title:The AUN/SEED-Net Joint Regional Conference in Transportation, Energy, and Mechanical Manufacturing Engineering
language:
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Author:

Tran Ngoc-Tien,Ngo Tien-Dung,Nguyen Dinh-Khoi,Son Phung Xuan,Thai Nguyen Hong

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-1968-8_43

Reference23 articles.

1. Lagriffoul, F., Dantam, N.T., Garrett, C., Akbari, A., Srivastava, S., Kavraki, L.E.: Platform-independent benchmarks for task and motion planning. IEEE Robot. Autom. Lett. 3, 3765–3772 (2018)

2. Dantam, N.T., Kingston, Z.K., Chaudhuri, S., Kavraki, L.E.: An incremental constraint-based framework for task and motion planning. Int. J. Robot. Res. 37, 1134–1151 (2018)

3. Aenugu, V., Woo, P.Y.: Mobile robot path planning with randomly moving obstacles and goal. Int. J. Intell. Syst. Appl. 4, 1–15 (2012)

4. Singh, N.H., Thongam, K.: Neural network-based approaches for mobile robot navigation in static and moving obstacles environments. Intell. Serv. Robot. 12, 55–67 (2019)

5. Chakraborty, J., Konar, A., Chakraborty, U.K., Jain, L.C.: Distributed cooperative multi-robot path planning using differential evolution. In: Proceedings of the IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), pp. 718–725 (2008)

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