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Yunlong Guo


I am currently a PhD candidate at the National Key Laboratory of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology (BIT), under the supervision of Prof. Jie Chen (IEEE Fellow) and Prof. Jian Sun (IEEE Senior Member). Since September 2025, I have been conducting research on embodied intelligence as a research associate at Zhongguancun Academy (Beijing). I received my Bachelor of Science (BSc) degree in Automation from BIT in June 2022. From April to September 2023, I participated in an exchange program at the Technical University of Munich (TUM), Germany.


Education

  • Sep. 2025 – Present: Zhongguancun Academy (PhD Student & Research Associate in Artificial Intelligence)
  • Sep. 2024 – Present: Beijing Institute of Technology (PhD Student in Control Science and Engineering)
  • Apr. 2023 – Sep. 2023: Technical University of Munich (Exchange Student in Electrical and Information Technology)
  • Sep. 2022 – Aug. 2024: Beijing Institute of Technology (M.Sc Student in Control Science and Engineering)
  • Aug. 2018 – Jun. 2022: Beijing Institute of Technology (B.Sc in Automation)


Research Interests

  • AI + Robotics
  • Multi-Agent Systems
  • Embodied Intelligence

Embodied multi-agent systems offer significant potential for real-world applications. My research centers on proactive cognitive decision-making and multi-agent collaboration through two complementary technical pathways: the structured “Perception-Cognition-Decision-Action” framework and end-to-end learning. I aim to integrate embodied foundation models—which equip agents with general perceptual and interactive capabilities—with multi-agent coordination, while developing end-to-end algorithms for proactive cognitive decision-making. This approach enables distributed agents to actively explore environments, adapt coordination strategies in real time, and efficiently convert raw sensory inputs into coordinated actions. My work seeks to bridge generalizable embodied intelligence with scalable multi-agent coordination, laying the foundation for intelligent systems that solve complex tasks through collective, adaptive collaboration.


News and Updates

  • October 21, 2025: Presented oral and poster presentations at IROS 2025 (Hangzhou) on “Informative Trajectory Planning for Air-Ground Cooperative Monitoring of Spatiotemporal Fields,” published in IEEE Transactions on Automation Science and Engineering (IEEE T-ASE).

  • September 8, 2025: Joined Zhongguancun Academy (Beijing) as a PhD student and research associate, specializing in embodied intelligence.

  • June 16, 2025: Our review paper “Embodied Multi-Agent Systems: A Review” was published in the IEEE/CAA Journal of Automatica Sinica.

  • November 20, 2024: Our research letter “Level Curve Tracking via Robust RL-guided Model Predictive Control” was published in the IEEE/CAA Journal of Automatica Sinica.

  • September 2, 2024: Commenced PhD studies at Beijing Institute of Technology.

  • April 9, 2024: Our paper “Informative Trajectory Planning for Air-Ground Cooperative Monitoring of Spatiotemporal Fields” was published in IEEE Transactions on Automation Science and Engineering (IEEE T-ASE).

  • March 31, 2023: Arrived in Munich, Germany, to begin an exchange semester at the Technical University of Munich (TUM).

  • September 1, 2022: Began master’s degree studies at Beijing Institute of Technology.

  • June 24, 2022: Completed bachelor’s degree in Automation at Beijing Institute of Technology.