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...
RARL Releases UAV-Based Maize Image Dataset (CMW) The Robotics and AI Research Lab (RARL) has developed a UAV-based maize image dataset named CMW, available at: https://doi.org/10.5281/zenodo.16741468. This dataset was utilized in...
On July 27, 2025, the Robotics and AI Research Lab (RARL) visited Shenzhen Chengshilihe Automation Co., Ltd. and Shenzhen MotionTime Technology Co., Ltd. in Shenzhen to discuss ongoing and...
The Robotics and AI Research Lab (RARL) is proud to announce the successful publication of the first two student research papers, resulting from our ongoing collaboration with Dongguan University....
The Robotics and AI Research Lab (RARL) proudly supported the 2025 4th International Conference on Machine Vision, Automatic Identification and Detection (MVAID 2025), held in Wuhan, China, from May...
On January 6, 2025, a significant collaboration agreement was formalized between the RARL Laboratory at Jiangxi University of Science and Technology and the Department of Electronics at Yashavantrao Chavan...
RARL Laboratory at Jiangxi University of Science and Technology, led by Dr. Ata Jahangir Moshayedi, has entered into a strategic collaboration with the Smart Structural Health Monitoring and Control...
RARL Laboratory continues its partnership with Prof. Hu’s team at Henan Agricultural University, focusing on cutting-edge Electronic Nose (Enose) technology. The collaboration aims to enhance ammonia detection capabilities, driving...
Collaboration with De Montfort University, UK, working with Dr. Amin Kolahdooz’s research group on joint research initiatives.