Jinlin Sun
Papers
2
Total Citations
26
H-Index
2
About
Jinlin Sun is a pioneering researcher at the forefront of embodied intelligence and robotic control systems. His work bridges the critical gap between virtual artificial intelligence and physical robotic systems, with a primary focus on quadruped robot navigation and collision-free target tracking in dynamic environments. In his highly cited 2023 paper, Sun introduced a novel collision-free tracking framework that combines a modified guidance vector field with a disturbance rejection controller, enabling quadruped robots to track moving targets while safely navigating obstacle-filled environments—a fundamental challenge in real-world robotics. His 2024 work, which has already garnered significant attention, explores the transformative journey from large language models to embodied foundation intelligence and parallel intelligence, arguing that true AI evolution requires a physical "body" to transition from virtual to real-world applications. With over 26 citations across his most prominent works, Sun is establishing himself as a key voice in the emerging field of embodied AI, where his contributions are helping to shape how intelligent systems perceive, navigate, and interact with the physical world.
Research Focus
Key Achievements
Top Papers
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- 2