Research on Algorithm and Application of Mecanum Wheel Robot
This paper designs the Mecanum wheel robot using Ubuntu 18. 04 system is operated on VNC platform. Raspberry Pi 4B is used for main control and auxiliary control. STM32F103RCT6 the expansion board is equipped with a variety of sensors such as depth camera and lidar, and has the function of sensing the terrain in complex environment, and can perform autonomous navigation obstacle avoidance, object recognition, face recognition and human pose estimation. Focus on robot target detection, human pose estimation and face recognition, SLAM algorithms such as mapping, the object detection of YOLOv4-tiny based on deep learning, face recognition based on OpenCV, human pose estimation algorithm based on OpenCV + MediaPipe and its related application fields, and three kinds of SLAM mapping algorithm comprehensive performance effect comparison.
Authors
- Pengfei Zhu (ORCID: https://orcid.org/0000-0001-7328-4161)
- Kuiming Wang
- Haonan Yan (ORCID: https://orcid.org/0000-0002-1784-6091)
- Kong De (ORCID: https://orcid.org/0000-0003-0744-116X)
- Jiaao Wang (ORCID: https://orcid.org/0000-0002-4944-4951)
- Shaojuan Xu
Institutions
- Dalian University of Technology (CN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/icaisisas64483.2025.11051746
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00