Vision

Our vision is to push the boundaries of cross-medium unmanned systems (such as the TJ-FlyingFish hybrid aerial-aquatic vehicle) by integrating advanced mechanical design, intelligent control, robust planning, multi-modal perception, and cutting-edge artificial intelligence. We aim to enable autonomous agents to operate seamlessly, cooperatively, and safely across complex air, land, and water environments.

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Research

Our group conducts cutting-edge, interdisciplinary research at the intersection of robotics, control theory, and artificial intelligence, organized around five core pillars:

• Mechanical & Aerohydrodynamics: Novel structural designs and fluid-dynamic analysis for cross-medium unmanned systems and morphable mechanisms.
• Control Theory & Flight Control: Robust control algorithms for hybrid vehicles, transitioning flight dynamics, and multi-agent coordination.
• Task & Motion Planning: Optimization-based and learning-driven planning algorithms for safe navigation in cluttered and dynamic environments.
• Robotic Perception & Localization: Multi-modal sensor fusion, visual-inertial SLAM in challenging environments, and advanced underwater vision.
• Machine Learning & Embodied AI: Deep reinforcement learning, digital twins, and large language model (LLM) applications for autonomous robotic decision-making.

About

We are a lab at the Shanghai Research Institute for Intelligent Autonomous Systems (SRIAS) and the State Key Laboratory of Autonomous Intelligent Systems, Tongji University, Shanghai, China. We cooperate with the Chinese University of Hong Kong (CUHK), Nanjing University of Aeronautics and Astronautics (NUAA), and Beijing Institute of Technology (BIT), providing students with a global research outlook and first-class academic resources.

We are looking for new PhD students, Postdocs, and Master’s students to join the team (more info) !