Work

The RRT-GA algorithm to improve computing efficiency of robot arm motion planning problem

Year: 2024

Type: conference-paper

Abstract: This paper presents a novel algorithm that integrates the Rapidly-exploring Random Tree (RRT) and Genetic Algorithm (GA) for effective trajectory planning of robotic arms. The primary objective is to enhance motion planning and obstacle avoidance in robotic applications. The proposed method significantly reduces computation time compared to standalone RRT and GA algorithms, while also achieving smoother trajectories. Experimental results demonstrate the effectiveness of the integrated approach in real-world scenarios, highlighting its potential for improving robotic arm performance in various settings.

DOI: 10.1145/3719477.3719480

Authors: Yuhongyi Chen, YuCheng Huang, Junhuai Wang, Zihan Wang

Institutions: Southwest Jiaotong University, Tongji University, Chongqing University of Posts and Telecommunications, Soochow University

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4409963907

FWCI:

Cites: 10

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Related to: 10