Our mission is to advance AI and robotics by creating intelligent, secure, and ethical systems. We prioritize safety, reliability, and real-world resilience to maximize positive societal impact.
Dr. Jianglin Lan
Leverhulme Early Career Fellow & Lecturer in Autonomous Systems
Division of Autonomous Systems and Connectivity, James Watt School of Engineering
Email: Jianglin.Lan[at]glasgow.ac.uk
Personal Website | Google Scholar Profile
Our work spans several key areas of AI and robotics, including:
Our team is actively involved in collaborative research across these domains, supported by funding from prestigious organizations, including the Leverhulme Trust and Royal Society.
06 June 2025
Paper on KAN-based RL for interactive driving in roundabouts accepted by IEEE T-ITS, congratulations Zhihao!
05 May 2025
Paper on LLM-GP automatic robot task planning accepted by 2025 IEEE ARM, congratulations Azizjon!
21 April 2025
Paper on safe decision making at unsignalized intersections accepted by 2025 ICDCSW, congratulations Zhihao!
17 April 2025
Congratulations! Our Sensors paper is awarded “Editor’s Choice Articles”.
28 November 2024
Dr Lan became IFAC SAFEPROCESS Technical Committee Member.
14 November 2024
We are delighted to join TransiT, a UK research hub dedicated to digital twinning for transport decarbonisation.
01 October 2024
Welcome new PhD student Lin Wu, funded by EPSRC.
28 September 2024
Paper on Simultaneous Localization and Multimode Mapping published in Pattern Recognition
17 September 2024
Dr Lan is on 2023 Stanford Top 2% Scientists List in “Industrial Engineering & Automation”.