New Research Publication at ICRAIC 2025 A new research paper titled “Path Planning for AGVs: Balancing Computational Efficiency and Optimality” has been accepted and presented at the 2025 5th...
13 December 2025 Our paper titled “Decadal Analysis of Agricultural Ammonia Distribution in China Using CAMS Data and Machine Learning Classifiers” was accepted and presented at ACEPE 2025, held...
On December 7, Dr. Ata Jahangir Moshayedi visited the CogTwins Lab at Shandong University to present the RARL platform and engage in academic exchange. The visit not only strengthened...
A major international scientific collaboration spanning China, Iran, and the United States has led to a significant advancement in gas sensor technology, opening new possibilities for environmental monitoring, industrial...
Proud Announcement! I am delighted to share that our second international collaboration among China, the USA, Italy, and Saudi Arabia has been recognized as the Best Poster Award at...
We are pleased to announce that Dr_ OrangeApp, an innovative research outcome in the field of agricultural technology, has officially been granted copyright in the Robotics and Autonomous Research...
RARL, in collaboration with Babol Noshirvani University of Technology (Babol, Mazandaran, Iran), has published a significant review article on advanced methods for detecting water hardness and evaluating water quality....
Led by core members of RARL—Dr. Ata Jahangir Moshayedi (Jiangxi University of Science and Technology, China), Dr. Zeashan H. Khan (King Fahd University of Petroleum and Minerals, Saudi Arabia),...
The Robotics and AI Research Lab (RARL) is pleased to announce its support for the 2026 International Symposium on Evolutionary Algorithm and Intelligent Control (ISEAIC 2026), scheduled to take place...
RARL Releases Pipe Welding Defect Image Dataset (PWDID) The Robotics and AI Research Lab (RARL) has developed a comprehensive Pipe Welding Defect Image Dataset (PWDID), available at: https://zenodo.org/records/16935930. Welding quality is...