Research Article
Path Optimization Technology for Robotic Arms Based on Visual Sensing Technology
@INPROCEEDINGS{10.4108/eai.24-4-2026.2364927, author={Yewei Jiang}, title={Path Optimization Technology for Robotic Arms Based on Visual Sensing Technology}, proceedings={Proceedings of the 3rd International Conference on Mechanics, Electronics Engineering and Automation, ICMEEA 2026, April 24-26, 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICMEEA}, year={2026}, month={9}, keywords={Vision Sensing Deep Learning Robot Arm Path Optimization}, doi={10.4108/eai.24-4-2026.2364927} }- Yewei Jiang
Year: 2026
Path Optimization Technology for Robotic Arms Based on Visual Sensing Technology
ICMEEA
EAI
DOI: 10.4108/eai.24-4-2026.2364927
Abstract
Current path planning has become a key technology for robotic arm systems. However, in complex or dynamic environment, the path planning of mechanical arm still faces problems such as slow speed, unstable performance and weak human-computer interaction ability. Therefore, more intelligent algorithms and visual sensing technologies are needed to compensate for the limitations of traditional planning methods. The purpose of this paper is to analyze the advantages and disadvantages of traditional algorithms, intelligent algorithms and learning algorithms and the representative research results in various application fields in recent years. It is concluded that the combination of 2D vision technology and 3D vision technology and the integration of intelligent algorithm and learning algorithm is a research trend and has more application value.
