Ziang Guo — accepted AI-conference papers

2025

Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots

Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov, Valerii Serpiva, Koffivi Fidèle Gbagbe, Ali Alabbas +5

IROS 2025

This paper presents the concept of Industry 6.0, which introduces the world’s first fully automated production system that autonomously handles the entire product design and manufacturing process based on user-provided natural language descriptions. By leveraging generative AI, the system automates

Cited by 13 Source ↗Scholar ↗

2025

METDrive: Multimodal End-to-End Autonomous Driving with Temporal Guidance

Ziang Guo, Xinhao Lin, Zakhar Yagudin, Artem Lykov, Yong Wang, Yanqiang Li +1

ICRA 2025

Multimodal end-to-end autonomous driving has shown promising advancements in recent work. By embedding more modalities into end-to-end networks, the system's understanding of both static and dynamic aspects of the driving environment is enhanced, thereby improving the safety of autonomous driving. I

Cited by 4 Source ↗Scholar ↗