Path Planning Algorithm for Intelligent Robot

DOI

10.2991/978-94-6239-648-7_17How to use a DOI?

Keywords

Path Planning; Algorithm; Intelligent Robot

Abstract

The task of intelligent robot path planning is to automatically generate the optimal motion path from the starting point to the target point on the basis of achieving safety, efficiency, and energy balance. The development of related technologies has improved the adaptability and efficiency of path planning, but it still faces challenges such as incomplete multi algorithm collaboration mechanisms, poor real-time response capabilities in dynamic environments, and difficulty in balancing computational resource consumption and path optimization effects. This article first divides algorithms into four perspectives: traditional algorithms, sampling based algorithms, biomimetic intelligent algorithms, and artificial intelligence driven algorithms. Typical algorithms are selected to analyze the principles and applicable scenarios of various algorithms, with a focus on studying the improvement approaches of emerging algorithms such as deep reinforcement learning. The feasibility of multi algorithm fusion is examined, the challenges faced by technology are summarized, various problems to be solved are sorted out, and future research directions are discussed. Intelligent robot path planning has become a hot research topic, and efficient and adaptive algorithms continue to emerge, which will extend to a wider range of directions in the future.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiayi Xu
PY  - 2026
DA  - 2026/04/24
TI  - Path Planning Algorithm for Intelligent Robot
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 145
EP  - 153
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_17
DO  - 10.2991/978-94-6239-648-7_17
ID  - Xu2026
ER  -