Quyu Kong
Papers
1
Total Citations
2
H-Index
1
About
Quyu Kong is a researcher at the forefront of embodied intelligence and 3D scene understanding, with a particular focus on grounding object affordances—the actionable possibilities of objects in physical space. Their most cited work, "Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions" (2025), tackles a critical challenge in robotics: enabling machines to locate and manipulate objects based on human language cues and visual feedback. By linking perception to action, Kong’s research bridges the gap between high-level instructions and low-level robotic control, advancing the development of intelligent systems that can interact with the world intuitively. This work, already garnering early citations, demonstrates Kong’s impact in a rapidly evolving field. Their contributions are vital for creating robots that understand not just what objects are, but how they can be used—a key step toward seamless human-robot collaboration. Kong’s research promises to shape the future of autonomous systems, making them more adaptive and responsive in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1