Research on Mobile Robot Path Planning Based on Improved A* and DWA Algorithms
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9239-3_10
Reference11 articles.
1. Abdallaoui, S., Aglzim, E.H., Chaibet, A., et al.: Thorough review analysis of safe control of autonomous vehicles: path planning and navigation techniques. Energies 15(4), 1358–1377 (2022)
2. Qin, H., Shao, S., Wang, T., et al.: Review of autonomous path planning algorithms for mobile robots. Drones 7(3), 211–248 (2023)
3. Wu, B., Chi, X., Zhao, C., et al.: Dynamic path planning for forklift AGV based on smoothing A* and improved DWA hybrid algorithm. Sensors 22(18), 7079–7098 (2022)
4. Luo, M., Hou, X., Yang, J.: Surface optimal path planning using an extended Dijkstra algorithm. IEEE Access 8(1), 147827–147838 (2020)
5. Mohammadpour, M., Zeghmi, L., Kelouwani, S., et al.: An investigation into the energy-efficient motion of autonomous wheeled mobile robots. Energies 14(12), 3517–3536 (2021)
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