Obstacle avoidance and visual design of home intelligent robot based on ROS system

Guiping Lu; Yongcong Liang; Zongtao Shao; Bixia Huang

doi:10.1117/12.3009566

16 October 2023 Obstacle avoidance and visual design of home intelligent robot based on ROS system

Guiping Lu, Yongcong Liang, Zongtao Shao, Bixia Huang

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 128033W (2023) https://doi.org/10.1117/12.3009566
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

In recent years, domestic robots have become popular among people. In the near future, in addition to basic tasks such as cleaning and washing, household robots can also provide home entertainment, security and other services. In this paper, a family intelligent robot is designed to solve this problem, which has the functions of path planning, obstacle avoidance and face recognition. According to the functional requirements of the robot, the robot was remotely controlled in the ROS environment, and the Gampping mapping algorithm was used to create the indoor map. Dijkstra global path planning algorithm and TEB local path planning algorithm were combined to realize the path planning and obstacle avoidance functions of the robot. YOLO real-time target detection algorithm is used to train and classify faces to realize face recognition and detection, so as to distinguish the owner from the stranger. The owner can check whether the visitor is a familiar person through the client, so as to improve the security of the home.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guiping Lu, Yongcong Liang, Zongtao Shao, and Bixia Huang "Obstacle avoidance and visual design of home intelligent robot based on ROS system", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 128033W (16 October 2023); https://doi.org/10.1117/12.3009566

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