Year: 2025
Type: article
Abstract: In recent years, robotics technology has developed rapidly around the world and has been widely used in many fields, greatly promoting the automation and intelligence of related industries. In this context, robotic algorithms have played a key role in path planning, industrial production of robotic arms, and warehouse management. This study systematically reviews the five key indicators of various robotic algorithms (such as Dijkstra algorithm, A* algorithm, RRT algorithm, etc.) from the time dimension - environmental adaptability, learning efficiency, safety, real-time and robustness, and focuses on analysing the performance of these algorithms in path planning applications in complex obstacle environments. By combining and analysing relevant domestic and foreign literature, the basic principles and performance indicators of various robotic algorithms are systematically summarized, and the advantages and limitations of each algorithm are deeply discussed in combination with actual application scenarios. Finally, the future research directions and development trends of these algorithms are expected to provide a useful reference for related research.
DOI: 10.54097/kj1whc43
Author: Hongxiang Lai
Institution: Jiangsu University of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413401582