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A Review on Embedded Arduino-Based Visual Robotic Arm Grasping and SLAM Navigation
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College of Engineering, Lishui University, Lishui 323000, China
* Corresponding Author:
Fajun Guo,
[email protected]
Volume 1, Issue 2
2026
Received: 10 May 2026
Accepted: 27 May 2026
Published: 07 June 2026
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Article Information
Volume/Issue
Volume 1, Issue 2, 2026
Pages
60-65
Abstract
With the development of desktop robotic arms towards low cost, lightweight and intelligence, the embedded Arduino vision-based robotic arm grasping technology has become a research hotspot. This paper reviews the current research status of the robotic arm vision grasping technology and embedded SLAM navigation with Arduino as the lower computer. Firstly, the embedded Arduino vision-based robotic arm grasping is introduced, and the system architecture, mainstream kinematic modeling methods, visual calibration, pose estimation, dynamic analysis and stability, and trajectory planning processes are sorted out in sequence. Then, the shortcomings of the system in terms of adaptability to complex environments, dynamic response and calibration dependence are pointed out. In addition, the application of lightweight embedded SLAM is introduced. Finally, the article is summarized and prospected, which can provide a reference for the research on the intelligence of small robotic arms.
Keywords
arduino
embedded SLAM
visual grasping
robotic arm control
Data Availability Statement
Not applicable.
Funding
This work was supported without any funding.
Conflicts of Interest
The author declares no conflicts of interest.
AI Use Statement
The author declares that no generative AI was used in the preparation of this manuscript.
Ethical Approval and Consent to Participate
Not applicable.
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APA Style
Guo, F. (2026). A Review on Embedded Arduino-Based Visual Robotic Arm Grasping and SLAM Navigation. ICCK Transactions on Intelligent Cyber-Physical Systems, 1(2), 60-65. https://doi.org/10.62762/TICPS.2026.578769
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TY - JOUR AU - Guo, Fajun PY - 2026 DA - 2026/06/07 TI - A Review on Embedded Arduino-Based Visual Robotic Arm Grasping and SLAM Navigation JO - ICCK Transactions on Intelligent Cyber-Physical Systems T2 - ICCK Transactions on Intelligent Cyber-Physical Systems JF - ICCK Transactions on Intelligent Cyber-Physical Systems VL - 1 IS - 2 SP - 60 EP - 65 DO - 10.62762/TICPS.2026.578769 UR - https://www.icck.org/article/abs/TICPS.2026.578769 KW - arduino KW - embedded SLAM KW - visual grasping KW - robotic arm control AB - With the development of desktop robotic arms towards low cost, lightweight and intelligence, the embedded Arduino vision-based robotic arm grasping technology has become a research hotspot. This paper reviews the current research status of the robotic arm vision grasping technology and embedded SLAM navigation with Arduino as the lower computer. Firstly, the embedded Arduino vision-based robotic arm grasping is introduced, and the system architecture, mainstream kinematic modeling methods, visual calibration, pose estimation, dynamic analysis and stability, and trajectory planning processes are sorted out in sequence. Then, the shortcomings of the system in terms of adaptability to complex environments, dynamic response and calibration dependence are pointed out. In addition, the application of lightweight embedded SLAM is introduced. Finally, the article is summarized and prospected, which can provide a reference for the research on the intelligence of small robotic arms. SN - 3071-2947 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Guo2026A,
author = {Fajun Guo},
title = {A Review on Embedded Arduino-Based Visual Robotic Arm Grasping and SLAM Navigation},
journal = {ICCK Transactions on Intelligent Cyber-Physical Systems},
year = {2026},
volume = {1},
number = {2},
pages = {60-65},
doi = {10.62762/TICPS.2026.578769},
url = {https://www.icck.org/article/abs/TICPS.2026.578769},
abstract = {With the development of desktop robotic arms towards low cost, lightweight and intelligence, the embedded Arduino vision-based robotic arm grasping technology has become a research hotspot. This paper reviews the current research status of the robotic arm vision grasping technology and embedded SLAM navigation with Arduino as the lower computer. Firstly, the embedded Arduino vision-based robotic arm grasping is introduced, and the system architecture, mainstream kinematic modeling methods, visual calibration, pose estimation, dynamic analysis and stability, and trajectory planning processes are sorted out in sequence. Then, the shortcomings of the system in terms of adaptability to complex environments, dynamic response and calibration dependence are pointed out. In addition, the application of lightweight embedded SLAM is introduced. Finally, the article is summarized and prospected, which can provide a reference for the research on the intelligence of small robotic arms.},
keywords = {arduino, embedded SLAM, visual grasping, robotic arm control},
issn = {3071-2947},
publisher = {Institute of Central Computation and Knowledge}
}
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