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.
04 August 2025
Paper on safe autonomous vehicle trajectory planning accepted by IEEE T-ITS, congratulations Zhihao!
28 July 2025
Paper on Data-driven sliding mode control accepted by IJRNC!
23 July 2025
Paper on Multi-agent RL for autonomous ramp merging accepted by IEEE T-TVT, congratulations Zhihao!
12 July 2025
Two papers on fault-tolerant & safe control accepted to SysTol’25!
04 July 2025
Paper on 3D Affordance Understanding accepted by 2025 ACM MM, congratulations Lin, Peizhuo, and Wei!
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”.