Open Access
Issue
ITM Web Conf.
Volume 80, 2025
2025 2nd International Conference on Advanced Computer Applications and Artificial Intelligence (ACAAI 2025)
Article Number 03009
Number of page(s) 7
Section Robotics, Autonomous Systems & Sensor Fusion
DOI https://doi.org/10.1051/itmconf/20258003009
Published online 16 December 2025
  1. O. Sharma, N.C. Sahoo, N.B. Puhan, Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey, Engineering Applications of Artificial Intelligence, 101, 104211 (2021) [Google Scholar]
  2. F. Dellaert, S. Hutchinson, Robotics book (JupyterBook, Rowan Cockett, 2023) [Google Scholar]
  3. K. Z. Haigh, J. R. Shewchuk, M. Veloso, Route planning and learning from execution, in Proceedings of the Preprints of the AAAI 1994 Fall Symposium on Planning and Learning: On to Real Applications, New Orleans, LA (1994) [Google Scholar]
  4. F. Duchoň, A. Babinec, M. Kajan, P. Beňo, M. Florek, Tomáš Fico, L. Jurišica, Path Planning with Modified a Star Algorithm for a Mobile Robot, Procedia Engineering, 96, 59-69 (2014) [Google Scholar]
  5. H. A. Gabbar, J. Ren, P. C.K. Hung, Modeling and simulation for connected and automated vehicle (CAV) deployment and performance evaluation, Smart Cities Policies and Financing, 34, 481-510 (2022) [Google Scholar]
  6. M. B. Alatise, G. P. Hancke, A review on challenges of autonomous mobile robot and sensor fusion methods, 8, 39830 – 39846 (2020) [Google Scholar]
  7. F. Bounini, D. Gingras, Hervé Pollart, D. Gruyer, Modified artificial potential field method for online path planning applications, 6, 180-185 (2017) [Google Scholar]
  8. S.M.H. Rostami, A.K. Sangaiah, J. Wang, et al., Obstacle avoidance of mobile robots using modified artificial potential field algorithm, J Wireless Com Network, 70 (2019) [Google Scholar]

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